{"id":3133,"date":"2026-02-24T11:31:46","date_gmt":"2026-02-24T03:31:46","guid":{"rendered":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/"},"modified":"2026-02-24T11:31:46","modified_gmt":"2026-02-24T03:31:46","slug":"from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2","status":"publish","type":"post","link":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/","title":{"rendered":"Von der Scope zur visuellen Logik: Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme meistern"},"content":{"rendered":"<p>In der komplexen Landschaft der Anforderungstechnik und UML-(Unified Modeling Language)-Modellierung ist Klarheit entscheidend. Drei spezifische Artefakte bilden ein eng verzahntes Dreigestirn, das diese Klarheit gew\u00e4hrleistet: das <strong>Use Case<\/strong>, das <strong>Use Case Beschreibung<\/strong>, und das <a href=\"https:\/\/www.visual-paradigm.com\/guide\/uml-unified-modeling-language\/what-is-activity-diagram\/\"><strong>Aktivit\u00e4tsdiagramm<\/strong><\/a>. Obwohl diese Elemente oft als getrennte Dokumentationsaufgaben behandelt werden, sind sie darauf ausgelegt, sich gegenseitig zu erg\u00e4nzen und eine Verfeinerungsleiter zu bilden, die sich von der hochwertigen Scope \u00fcber die detaillierte textuelle Erz\u00e4hlung bis hin zum pr\u00e4zisen visuellen Verhaltensfluss entwickelt.<\/p>\n<p><img alt=\"Free UML Tool\" decoding=\"async\" src=\"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png\"\/><\/p>\n<p>Diese Entwicklung ist keine blo\u00dfe Dokumentations\u00fcbung; sie ist ein leistungsf\u00e4higes Entdeckungsmechanismus. Indem man diese Stufen durchl\u00e4uft, k\u00f6nnen Gesch\u00e4ftsanalysten und Systemarchitekten versteckte Anforderungen, komplexe Gesch\u00e4ftslogik und Systembeschr\u00e4nkungen aufdecken, die sonst bis zur Test- oder Entwicklungsphase \u00fcbersehen bleiben k\u00f6nnten.<\/p>\n<p><img alt=\"\" decoding=\"async\" src=\"data:image\/png;base64,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\"\/><\/p>\n<h2>Die drei S\u00e4ulen des Systemverhaltens<\/h2>\n<p>Um zu verstehen, wie diese Elemente miteinander interagieren, m\u00fcssen wir zun\u00e4chst ihre individuellen Rollen im Prozess der Systemspezifikation definieren.<\/p>\n<h3>1. Das Use Case<\/h3>\n<p>Das Use Case ist die grundlegende Einheit der Scope. Es stellt eine einzelne, benannte Funktionalit\u00e4t dar, die einem Akteur, sei es ein menschlicher Benutzer oder ein externes System, sichtbaren Wert liefert. Es beantwortet die hochwertige Frage: <em>\u201eWelches Ziel erreicht der Akteur?\u201c<\/em><\/p>\n<p>H\u00e4ufige Beispiele sind \u201eGeld abheben\u201c, \u201eOnline-Bestellung aufgeben\u201c oder \u201eMonatlichen Bericht generieren\u201c. In diesem Stadium liegt der Fokus ausschlie\u00dflich auf der Grenze des Systems und den prim\u00e4ren Zielen.<\/p>\n<h3>2. Die Use Case Beschreibung<\/h3>\n<p>Auch bekannt als Szenario oder Spezifikation, verbindet die Use Case Beschreibung die L\u00fccke zwischen einem abstrakten Titel und konkretem Verhalten. Es ist eine strukturierte textuelle Erz\u00e4hlung, die erkl\u00e4rt <strong>wie<\/strong>das Ziel erreicht wird. Eine solide Beschreibung umfasst typischerweise:<\/p>\n<ul>\n<li><strong>Voraussetzungen:<\/strong>Was vor Beginn des Prozesses erf\u00fcllt sein muss.<\/li>\n<li><strong>Haupterfolgs-Szenario:<\/strong>Der \u201egl\u00fcckliche Weg\u201c oder der grundlegende Ablauf der Ereignisse.<\/li>\n<li><strong>Alternative Abl\u00e4ufe:<\/strong>Variationen im Ablauf, die dennoch zum Erfolg f\u00fchren.<\/li>\n<li><strong>Ausnahme-Abl\u00e4ufe:<\/strong>Fehlerzust\u00e4nde und wie sie behandelt werden.<\/li>\n<li><strong>Nachbedingungen:<\/strong>Der Zustand des Systems nach Abschluss.<\/li>\n<\/ul>\n<h3>3. Das Aktivit\u00e4tsdiagramm<\/h3>\n<p>Das Aktivit\u00e4tsdiagramm bringt den Text visuell zum Leben. Es ist ein UML-Verhaltensdiagramm, das den schrittweisen Ablauf darstellt und Steuerfl\u00fcsse, Entscheidungspunkte, Parallelit\u00e4t und Objektfl\u00fcsse identifiziert. Im Gegensatz zur linearen Struktur von Text kann ein Aktivit\u00e4tsdiagramm komplexe Logik leicht mithilfe von Aktionen, Entscheidungsknoten, Verzweigungen, Verschmelzungen und Swimlanen zur Zuordnung von Verantwortlichkeiten darstellen.<\/p>\n<h2>Die nat\u00fcrliche Entwicklung: von der Scope zur Erz\u00e4hlung zur Visualisierung<\/h2>\n<p>In der Praxis werden diese Artefakte selten isoliert erstellt. Sie folgen einer nat\u00fcrlichen, fast evolution\u00e4ren Entwicklungskette:<\/p>\n<ol>\n<li><a href=\"https:\/\/www.visual-paradigm.com\/guide\/sysml\/identify-user-requirements-with-use-case-diagrams\/\"><strong>Identifizieren Sie Anwendungsf\u00e4lle:<\/strong><\/a>Bestimmen Sie den Umfang und die Ziele.<\/li>\n<li><strong>Schreiben Sie Beschreibungen:<\/strong>Entwerfen Sie die narrativen Szenarien.<\/li>\n<li><a href=\"https:\/\/www.visual-paradigm.com\/support\/documents\/vpuserguide\/94\/2580\/6713_drawingactiv.html\"><strong>Zeichnen Sie Aktivit\u00e4tsdiagramme:<\/strong><\/a>Formalisieren Sie die Logik visuell.<\/li>\n<\/ol>\n<p>Ein Anwendungsfall allein ist zu abstrakt. W\u00e4hrend die textuelle Beschreibung notwendige Details hinzuf\u00fcgt, ist Prosa inh\u00e4rent linear. Es ist schwierig, einen Textabsatz zu \u00fcberfliegen und sofort komplexe Verzweigungslogik, Konkurrenz oder Endlosschleifen zu erfassen. Das Aktivit\u00e4tsdiagramm visualisiert diese Beschreibung, macht den Ablauf explizit und macht die Analyse erheblich einfacher. Diese Transformation ist so logisch, dass viele moderne Modellierungswerkzeuge die halbautomatische Generierung von Diagrammen aus strukturiertem Text unterst\u00fctzen.<\/p>\n<h2>Der Effekt des \u201eAnforderungsvergr\u00f6\u00dferers\u201c<\/h2>\n<p>Der \u00dcbergang von einer textuellen Beschreibung zu einem Aktivit\u00e4tsdiagramm wirkt sich effektiv aus als ein<strong>Anforderungsvergr\u00f6\u00dferer<\/strong>. Wenn ein Analyst versucht, eine Linie von einer Aktion zur anderen zu zeichnen, werden sie gezwungen, detaillierte \u201eWas w\u00e4re, wenn\u201c- und \u201eWie genau\u201c-Fragen zu beantworten.<\/p>\n<p>Diese iterative Verfeinerung hilft dabei, folgendes zu entdecken:<\/p>\n<ul>\n<li><strong>Fehlende Logik:<\/strong>L\u00fccken in Voraussetzungen oder undefinierte Nachbedingungen.<\/li>\n<li><strong>Bedarf an Konkurrenz:<\/strong>Prozesse, die gleichzeitig stattfinden k\u00f6nnen oder m\u00fcssen (z.\u202fB. das Senden einer E-Mail w\u00e4hrend der Aktualisierung einer Datenbank).<\/li>\n<li><strong>Randf\u00e4lle:<\/strong>Versteckte alternative Pfade, die in Textbeschreibungen \u00fcbersehen wurden.<\/li>\n<li><strong>Gesch\u00e4ftsregeln:<\/strong>Spezifische \u00dcberpr\u00fcfungen, die an Entscheidungsknoten erforderlich sind.<\/li>\n<li><strong>Databh\u00e4ngigkeiten:<\/strong>Objektfl\u00fcsse, die erforderliche Eingabedaten vorgeben.<\/li>\n<\/ul>\n<p>Es ist nicht ungew\u00f6hnlich, dass die Erstellung eines Aktivit\u00e4tsdiagramms 20 % bis 50 % mehr detaillierte Anforderungen offenlegt als die urspr\u00fcngliche textuelle Beschreibung enthielt. Stakeholder erkennen Widerspr\u00fcche, Entwickler identifizieren Unklarheiten, und Tester finden testbare Bedingungen, die zuvor unsichtbar waren.<\/p>\n<h2>Konkrete Beispiele der Entdeckung<\/h2>\n<p>Um die Kraft dieser Entwicklung zu veranschaulichen, betrachten wir, wie spezifische Diagramme Details in allt\u00e4glichen Szenarien aufdecken.<\/p>\n<h3>Beispiel 1: Geldautomat \u2013 Bargeld abheben<\/h3>\n<p><strong>Der Anwendungsfall:<\/strong> Ein Karteninhaber m\u00f6chte Bargeld abheben.<br \/><strong>Die textuelle Beschreibung:<\/strong> Der Benutzer steckt eine Karte ein, gibt eine PIN ein, w\u00e4hlt einen Betrag aus und erh\u00e4lt Bargeld. Ausnahmen sind unzureichende Mittel oder eine falsche PIN.<\/p>\n<p><strong>Was das Aktivit\u00e4tsdiagramm aufdeckt:<\/strong><\/p>\n<ul>\n<li><strong>Schleifenlogik:<\/strong> Was geschieht nach der ersten falschen PIN? Das Diagramm erfordert eine Schleife zur\u00fcck zur PIN-Eingabe mit einem Z\u00e4hler. Dies zeigt die Anforderung einer \u201eKarte nach 3 Versuchen sperren\u201c-Regel auf.<\/li>\n<li><strong>Sequenzierung:<\/strong> Pr\u00fcft das System das Kontoguthaben vor oder nach der \u00dcberpr\u00fcfung der physischen Bargeldverf\u00fcgbarkeit im ATM?<\/li>\n<li><strong>Unterbrechbarkeit:<\/strong> Kann der Benutzer die Transaktion nach der Eingabe des Betrags, aber vor der Bargeldausgabe, abbrechen? Dazu ist ein \u201eAbbrechen\u201c-Aktionsknoten erforderlich.<\/li>\n<\/ul>\n<h3>Beispiel 2: Online-Shopping \u2013 Bestellung aufgeben<\/h3>\n<p><strong>Der Anwendungsfall:<\/strong> Ein Kunde stellt eine Bestellung auf.<br \/><strong>Die textuelle Beschreibung:<\/strong> Der Benutzer durchsucht die Angebote, f\u00fcgt Artikel in den Warenkorb hinzu, kassiert ab, zahlt und erh\u00e4lt eine Best\u00e4tigung.<\/p>\n<p><strong>Was das Aktivit\u00e4tsdiagramm aufdeckt:<\/strong><\/p>\n<ul>\n<li><strong>Parallelverarbeitung (Verzweigungen\/Verkn\u00fcpfungen):<\/strong> Sobald die Bestellung best\u00e4tigt ist, muss das System eine E-Mail senden, das Lagerbestand aktualisieren und eine Versandanfrage starten. Das Diagramm zeigt diese als parallele Abl\u00e4ufe.<\/li>\n<li><strong>Lagerlogik:<\/strong> Ein Entscheidungsknoten fragt: \u201eIst der Artikel auf Lager?\u201c Falls nicht, wird ein neuer Ablauf f\u00fcr \u201eNachbestellen\u201c oder \u201eBenutzer benachrichtigen\u201c entdeckt.<\/li>\n<li><a href=\"https:\/\/guides.visual-paradigm.com\/a-guide-to-swimlane-activity-diagrams\/\"><strong>Schwimmzellen:<\/strong><\/a> Durch die visuelle Trennung von Kunden, System, Zahlungsdienstleister und Lager kl\u00e4rt das Diagramm die Schnittstellenanforderungen zwischen externen APIs und internen Systemen.<\/li>\n<\/ul>\n<h3>Beispiel 3: Bibliothekssystem \u2013 Buch ausleihen<\/h3>\n<p><strong>Der Anwendungsfall:<\/strong> Ein Mitglied leiht ein Buch aus.<br \/><strong>Die textuelle Beschreibung:<\/strong> Mitglied beantragt ein Buch; Bibliothekar pr\u00fcft den Status und stellt das Buch aus.<\/p>\n<p><strong>Was das Aktivit\u00e4tsdiagramm aufdeckt:<\/strong><\/p>\n<ul>\n<li><strong>Unterprozesse:<\/strong> Ein Entscheidungsknoten pr\u00fcft auf ausstehende Geb\u00fchren. Falls Geb\u00fchren bestehen, wird der Ablauf zu einem \u201eGeb\u00fchr zahlen\u201c-Unterprozess abgeleitet, bevor er zum Hauptablauf zur\u00fcckkehrt.<\/li>\n<li><strong>Komplexe Einschr\u00e4nkungen:<\/strong> Eine \u00dcberpr\u00fcfung der \u201eMaximale Anzahl B\u00fccher pro Mitglied\u201c bringt eine Gesch\u00e4ftsregel ans Licht, die wahrscheinlich im urspr\u00fcnglichen Text fehlte.<\/li>\n<li><strong>Reservierungs-Warteschlangen:<\/strong> Wenn das Buch von einem anderen Mitglied reserviert ist, muss der Ablauf in eine Warteliste oder eine Ablehnungspfad abweichen.<\/li>\n<\/ul>\n<h3>Beispiel 4: Krankenhaus \u2013 Termin buchen<\/h3>\n<p><strong>Der Anwendungsfall:<\/strong>Ein Patient bucht einen Besuch.<br \/><strong>Die textuelle Beschreibung:<\/strong>Der Patient w\u00e4hlt einen Zeitraum aus, best\u00e4tigt die Versicherung und bucht den Termin.<\/p>\n<p><strong>Was das Aktivit\u00e4tsdiagramm aufdeckt:<\/strong><\/p>\n<ul>\n<li><strong>Kongruenz:<\/strong> Das System muss gleichzeitig die Verf\u00fcgbarkeit des Arztes und des Raums \u00fcberpr\u00fcfen, um eine Doppelbuchung von Ressourcen zu verhindern.<\/li>\n<li><strong>Ausnahmebehandlung:<\/strong> Was geschieht, wenn der Arzt sp\u00e4ter absagt? Das Diagramm zeigt die Notwendigkeit eines Umbuchungs- oder Benachrichtigungsablaufs auf.<\/li>\n<li><strong>Entscheidungsb\u00e4ume:<\/strong> Die Logik zur Versicherungspr\u00fcfung wird zu einem komplexen Baum: Ist es abgedeckt? Wenn nein, gibt es eine Selbstzahler-Option? Wenn nein, den Prozess abbrechen.<\/li>\n<\/ul>\n<div>\n<h3 dir=\"auto\" node=\"[object Object]\" style=\"--tw-scale-x: 1; --tw-scale-y: 1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness: proximity; --tw-gradient-from-position: ; --tw-gradient-via-position: ; --tw-gradient-to-position: ; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width: 0px; --tw-ring-offset-color: #fff; --tw-ring-color: rgb(59 130 246 \/ 0.5); --tw-ring-offset-shadow: 0 0 #0000; --tw-ring-shadow: 0 0 #0000; --tw-shadow: 0 0 #0000; --tw-shadow-colored: 0 0 #0000; --tw-blur: ; --tw-brightness: ; --tw-contrast: ; --tw-grayscale: ; --tw-hue-rotate: ; --tw-invert: ; --tw-saturate: ; --tw-sepia: ; --tw-drop-shadow: ; --tw-backdrop-blur: ; --tw-backdrop-brightness: ; --tw-backdrop-contrast: ; --tw-backdrop-grayscale: ; --tw-backdrop-hue-rotate: ; --tw-backdrop-invert: ; --tw-backdrop-opacity: ; --tw-backdrop-saturate: ; --tw-backdrop-sepia: ; --tw-contain-size: ; --tw-contain-layout: ; --tw-contain-paint: ; --tw-contain-style: ;\">Wichtige KI-Tools in Visual Paradigm, die f\u00fcr diesen Ablauf relevant sind<\/h3>\n<\/div>\n<div><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">Visual Paradigm\u2019s<\/span><strong node=\"[object Object]\" style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">Use Case AI Studio<\/strong><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\"> (und seiner Reihe an verwandten KI-gest\u00fctzten Tools, die oft unter den KI-erweiterten Modellierungsfunktionen zusammengefasst werden) beschleunigt und verbessert den Ablauf von<\/span><strong node=\"[object Object]\" style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">Anwendungsfall<\/strong><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\"> \u2192 <\/span><strong node=\"[object Object]\" style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">Anwendungsfalldeskription<\/strong><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\"> \u2192 <\/span><strong node=\"[object Object]\" style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\">Aktivit\u00e4tsdiagramm<\/strong><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\"> die wir zuvor besprochen haben. Diese KI-Funktionen automatisieren einen Gro\u00dfteil der manuellen Arbeit, reduzieren Fehler und \u2014 vor allem \u2014 helfen, noch detailliertere Anforderungen und Logik zu entdecken, indem sie Verbesserungsvorschl\u00e4ge unterbreiten, L\u00fccken schlie\u00dfen und Komplexit\u00e4ten visualisieren, die Menschen m\u00f6glicherweise \u00fcbersehen w\u00fcrden.<\/span><\/div>\n<div><span style=\"color: rgb(51, 65, 85); white-space-collapse: preserve;\"><br \/><\/span><\/div>\n<div>\n<p dir=\"auto\" node=\"[object Object]\" style=\"white-space-collapse: preserve;\">Visual Paradigm integriert mehrere speziell entwickelte KI-Apps (erreichbar \u00fcber \u201eMit KI erstellen\u201c, Werkzeuge &gt; Apps oder die KI-Toolbox in beiden<a href=\"https:\/\/online.visual-paradigm.com\/diagrams\/solutions\/free-activity-diagram-tool\/\">Online<\/a> und Desktop-Versionen):<\/p>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\"><strong node=\"[object Object]\">KI-Anwendungsfalldeskriptions-Generator<\/strong> \u2014 Beginnt mit einem kurzen Prompt und erzeugt eine strukturierte Use-Case-Beschreibung.<\/li>\n<li node=\"[object Object]\"><a href=\"https:\/\/www.archimetric.com\/mastering-ai-driven-use-case-diagrams-with-visual-paradigm-a-comprehensive-tutorial\/\"><strong node=\"[object Object]\">AI-Tool zur Verbesserung von Use-Case-Diagrammen<\/strong><\/a> \u2014 Erzeugt oder verbessert Use-Case-Diagramme mit korrekten <strong node=\"[object Object]\">include<\/strong> \/ <strong node=\"[object Object]\">extend<\/strong> Beziehungen.<\/li>\n<li node=\"[object Object]\"><a href=\"https:\/\/www.visual-paradigm.com\/features\/use-case-to-activity-diagram\/\"><strong node=\"[object Object]\">Use-Case-zu-Aktivit\u00e4tsdiagramm<\/strong><\/a> App \u2014 Die Hauptfunktion unserer Arbeitsabfolge: konvertiert einen Use Case (mit seiner Beschreibung) direkt in ein vollst\u00e4ndiges UML-Aktivit\u00e4tsdiagramm.<\/li>\n<li node=\"[object Object]\">Unterst\u00fctzende Tools wie <strong node=\"[object Object]\">AI-Use-Case-Szenario-Analysator<\/strong>, <strong node=\"[object Object]\">Grundlegender Use-Case-Diagramm-Analysator<\/strong>, und den conversationalen <strong node=\"[object Object]\">AI-Chatbot<\/strong> f\u00fcr die iterative Verbesserung.<\/li>\n<\/ul>\n<p dir=\"auto\" node=\"[object Object]\" style=\"white-space-collapse: preserve;\">Diese Tools bilden eine integrierte Pipeline, die die traditionelle Verbesserungshierarchie entscheidend beschleunigt.<\/p>\n<h3 dir=\"auto\" node=\"[object Object]\">Wie Visual Paradigm AI jeden Schritt unterst\u00fctzt und verbessert<\/h3>\n<ol dir=\"auto\">\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Ausgangspunkt: Von der Idee\/Anfrage zum Use Case + Beschreibung<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Geben Sie einen kurzen nat\u00fcrlichsprachlichen Prompt ein (z.\u202fB. \u201eATM-Geldabhebungssystem\u201c oder \u201eBestellplatzierung in einem Online-Buchhandel\u201c).<\/li>\n<li node=\"[object Object]\">Das <strong node=\"[object Object]\">AI-Use-Case-Beschreibungs-Generator<\/strong> erzeugt:\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Ein Absatz zur Problembeschreibung\/System\u00fcbersicht (bearbeitbar)<\/li>\n<li node=\"[object Object]\">Strukturierte Elemente: Voraussetzungen, Nachbedingungen, Haupterfolgsszenario, alternative Abl\u00e4ufe, Ausnahmen<\/li>\n<li node=\"[object Object]\">Oft schl\u00e4gt verwandte Akteure und Ziele vor<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\">Vorteil: \u00dcberspringt das \u201eleere-Seite-Syndrom\u201c und stellt eine konsistente, vollst\u00e4ndige textuelle Grundlage schneller als manuelles Schreiben sicher.<\/li>\n<li node=\"[object Object]\">Entdeckungseffekt: Die KI f\u00fcgt oft realistische Alternativen\/Ausnahmen hinzu (z.\u202fB. \u201eNetzwerkfehler w\u00e4hrend der Zahlung\u201c), die Benutzer dazu anregen, Anforderungen fr\u00fchzeitig zu best\u00e4tigen oder zu erweitern.<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Visualisierung des Umfangs: Use-Case-Diagramm (optional, aber hilfreich)<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Aus der Beschreibung oder dem Prompt heraus verwenden Sie den <strong node=\"[object Object]\">AI-Tool zur Feinabstimmung von Use-Case-Diagrammen<\/strong> um Akteure, Use Cases und Beziehungen automatisch zu generieren.<\/li>\n<li node=\"[object Object]\">AI analysiert den Text und schl\u00e4gt vor<strong node=\"[object Object]\">einbeziehen<\/strong> (geteilte Teilziele wie \u201eBenutzer authentifizieren\u201c) und<strong node=\"[object Object]\">erweitern<\/strong> (bedingte Erweiterungen wie \u201eRabatt anwenden \u2192 nur wenn Promo-Code g\u00fcltig ist\u201c).<\/li>\n<li node=\"[object Object]\">Sie k\u00f6nnen eine Vorschau erstellen, SVG exportieren oder im vollst\u00e4ndigen Editor zur Feinabstimmung \u00f6ffnen.<\/li>\n<li node=\"[object Object]\">Vorteil: Bietet einen schnellen \u201e\u00dcberblick\u201c, bevor man in die Details eintaucht, und hilft, fehlende Akteure oder \u00fcberlappende Funktionalit\u00e4ten zu erkennen.<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Der entscheidende Schritt: Use-Case-Beschreibung \u2192 Aktivit\u00e4tsdiagramm<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">In der<strong node=\"[object Object]\">Use-Case-zu-Aktivit\u00e4tsdiagramm<\/strong>App:\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Geben Sie den Use-Case-Namen, Akteure, Zusammenfassung und (idealerweise) die zuvor generierte vollst\u00e4ndige Beschreibung an.<\/li>\n<li node=\"[object Object]\">Klicken Sie auf \u201eDetails mit AI generieren\u201c \u2192 AI erweitert\/erg\u00e4nzt fehlende Teile (Vor- und Nachbedingungen, Abl\u00e4ufe).<\/li>\n<li node=\"[object Object]\">Generieren Sie anschlie\u00dfend das Diagramm sofort.<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\">Das resultierende Aktivit\u00e4tsdiagramm enth\u00e4lt:\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Aktionen\/Schritte aus dem Hauptablauf<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Entscheidungsknoten<\/strong> f\u00fcr Verzweigungen (z.\u202fB. \u201ePIN korrekt?\u201c)<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Verzweigungen\/Verbindungen<\/strong> f\u00fcr parallele Aktionen (z.\u202fB. Bargeld auszahlen + Beleg senden + Kontostand aktualisieren)<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Schwimmzellen<\/strong> wenn mehrere Akteure\/Systemskomponenten beteiligt sind<\/li>\n<li node=\"[object Object]\">Ausnahmepfade und Schleifen (z.\u202fB. 3\u00d7 falscher PIN \u2192 Karte behalten)<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\">Vorteil: Wandelt linearen Text in ein pr\u00e4zises, \u00fcberpr\u00fcfbares<a href=\"https:\/\/www.fliplify.com\/comprehensive-guide-transforming-use-cases-into-uml-activity-diagrams-with-ai\/\">UML-Aktivit\u00e4tsdiagramm<\/a> in Sekunden \u2013 die gleiche Transformation, die traditionell die verborgensten Logiken enth\u00fcllt.<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3 dir=\"auto\" node=\"[object Object]\">Wie dieser AI-beschleunigte Ablauf dabei hilft, detailliertere Anforderungen und Logik zu entdecken<\/h3>\n<p dir=\"auto\" node=\"[object Object]\" style=\"white-space-collapse: preserve;\">Die KI beschleunigt nicht nur den Prozess; sie wirkt als intelligenter \u201eAnforderungsverst\u00e4rker\u201c, indem sie:<\/p>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\"><strong node=\"[object Object]\">L\u00fccken automatisch f\u00fcllen<\/strong> \u2014 Die KI leitet plausibele Alternativen\/Ausnahmen ab (z.\u202fB. \u201egeringer Bargeldbestand am ATM\u201c oder \u201eBestand reserviert, aber Zahlung fehlgeschlagen\u201c) \u2192 zwingt Sie dazu, Regeln zu \u00fcberpr\u00fcfen oder hinzuzuf\u00fcgen.<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Durchsetzung von Struktur und UML-Best-Practices<\/strong> \u2014 Vorschl\u00e4ge f\u00fcr modulare Abl\u00e4ufe \u00fcber include\/extend \u2192 bringt wiederverwendbare Logik ans Licht und reduziert Redundanz.<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Hervorhebung von Konkurrenz und Abh\u00e4ngigkeiten<\/strong> \u2014 Aktivit\u00e4tsdiagramme zeigen Parallelit\u00e4t (Verzweigungen) und Synchronisation (Verbindungen) \u2192 offenbart Zeitplan-, Leistungs- oder Integrationsanforderungen (z.\u202fB. \u201eBestand aktualisieren UND Kunden benachrichtigen\u201c m\u00fcssen beide gelingen).<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Iterativer Verbesserungszyklus<\/strong> \u2014 Nutzen Sie den KI-Chatbot (\u201eAusnahme f\u00fcr Betrugskontrolle hinzuf\u00fcgen\u201c oder \u201eZeigen Sie Swimlanes f\u00fcr Zahlungsgateway an\u201c) oder generieren Sie nach \u00c4nderungen erneut \u2192 jeder Durchlauf bringt neue Fragen ans Licht.<\/li>\n<li node=\"[object Object]\"><a href=\"https:\/\/www.archimetric.com\/comprehensive-guide-generating-scenarios-and-test-cases-from-use-case-diagrams-with-ai\/\"><strong node=\"[object Object]\">Erzeugen von Berichten und Testf\u00e4llen<\/strong><\/a> \u2014 Viele Tools generieren automatisch Ablaufzusammenfassungen, Entscheidungstabellen oder Test-Szenarien \u2192 bringt Randf\u00e4lle f\u00fcr die Validierung ans Licht.<\/li>\n<\/ul>\n<h3 dir=\"auto\" node=\"[object Object]\">Konkrete Beispiele mit Visual Paradigm AI<\/h3>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\"><strong node=\"[object Object]\">ATM Bargeld abheben<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Prompt: \u201eBargeldabhebung am ATM\u201c<\/li>\n<li node=\"[object Object]\">Die KI generiert eine Beschreibung mit Hauptablauf + Alternativen (unzureichendes Guthaben, falsche PIN).<\/li>\n<li node=\"[object Object]\">Use-Case zu Aktivit\u00e4tsdiagramm \u2192 erzeugt Diagramm mit PIN-Wiederholungsschleife (Z\u00e4hler), Entscheidung f\u00fcr Kontenabfrage vor Ausgabe, parallele Aktualisierung des Kontos + Ausdruck der Quittung.<\/li>\n<li node=\"[object Object]\">Entdeckung: Die KI schl\u00e4gt die \u201eTageslimit pr\u00fcfen\u201c-Zweig vor \u2192 bringt eine neue Gesch\u00e4ftsregel ans Licht.<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Online-Shopping \u2013 Bestellung aufgeben<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Die KI-Beschreibung enth\u00e4lt Bestandspr\u00fcfung, Zahlungsoptionen.<\/li>\n<li node=\"[object Object]\">Das Aktivit\u00e4tsdiagramm zeigt eine Verzweigung: \u201eZahlung verarbeiten\u201c parallel zu \u201eBestand reservieren\u201c.<\/li>\n<li node=\"[object Object]\">Entscheidungsknoten f\u00fcr \u201eAuf Lager? \u2192 Nein: benachrichtigen \/ nachbestellen\u201c.<\/li>\n<li node=\"[object Object]\">Entdeckung: Die KI f\u00fcgt den Schritt \u201eBetrugs\u00fcberpr\u00fcfung\u201c hinzu \u2192 l\u00f6st Diskussionen \u00fcber die Integration eines Drittanbieters aus.<\/li>\n<\/ul>\n<\/li>\n<li node=\"[object Object]\"><strong node=\"[object Object]\">Bibliothek Buch ausleihen<\/strong>\n<ul dir=\"auto\" node=\"[object Object]\">\n<li node=\"[object Object]\">Die KI erkennt gemeinsame \u201eMitgliedschaftsstatus pr\u00fcfen\u201c \u2192 schl\u00e4gt eine include-Beziehung vor.<\/li>\n<li node=\"[object Object]\">Das Aktivit\u00e4tsdiagramm visualisiert den feinen Zahlungs-Unterablauf als unterbrechbare Region.<\/li>\n<li node=\"[object Object]\">Entdeckung: Die KI schl\u00e4gt die Ausnahme \u201eReservierungswarteschlange\u201c vor \u2192 bringt die Anforderung an die Warteschlangenlogik ans Licht.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p dir=\"auto\" node=\"[object Object]\" style=\"white-space-collapse: preserve;\">In der Praxis berichten Teams, die diese Tools nutzen, von einer 50\u201380 % schnelleren Fortschrittsentwicklung von der hochwertigen Idee bis hin zu detaillierter, visueller Logik \u2013 mit weniger verpassten Anforderungen, da die KI die Ber\u00fccksichtigung von Zweigen, Konkurrenz und Ausnahmen anregt, die manuelle Textbeschreibungen oft \u00fcbergehen.<\/p>\n<\/div>\n<h2>Zusammenfassung<\/h2>\n<p>Die Reise von <strong>Use-Case<\/strong>zu <strong>Beschreibung<\/strong> zu <strong>Aktivit\u00e4tsdiagramm<\/strong> ist eine bew\u00e4hrte Methode, um umfassende Systemanforderungen sicherzustellen. Der Use Case definiert das <em>Was<\/em>, die Beschreibung erz\u00e4hlt das <em>Wie<\/em> in Worten, und das Aktivit\u00e4tsdiagramm formalisiert das <em>Wie<\/em> in visueller Logik.<\/p>\n<p>Obwohl es verlockend sein mag, bei der textuellen Beschreibung zu stoppen, l\u00e4sst dies oft kritische Gesch\u00e4ftsregeln und Randf\u00e4lle unbestimmt. Indem die Anforderungen durch die strenge Logik eines visuellen Diagramms gezwungen werden, k\u00f6nnen Teams systematisch L\u00fccken aufdecken, die Logik \u00fcberpr\u00fcfen und die Qualit\u00e4t und Testbarkeit des endg\u00fcltigen Softwareprodukts erheblich verbessern.<\/p>\n<p dir=\"auto\" style=\"white-space-collapse: preserve;\">Visual Paradigms Use Case AI Studio (insbesondere die Beschreibungs-Generator-App + Use Case zu Aktivit\u00e4tsdiagramm-App) transformiert den klassischen Use Case \u2192 Beschreibung \u2192 Aktivit\u00e4tsdiagramm-Fluss von einem langsamen, fehleranf\u00e4lligen manuellen Prozess in einen schnellen, intelligenten und iterativen. Er spart nicht nur Zeit, sondern hilft aktiv dabei, tiefere Systemanforderungen, versteckte Randf\u00e4lle, Gesch\u00e4ftsregeln und Verhaltenslogik aufzudecken \u2013 genau dort, wo der gr\u00f6\u00dfte Wert dieser Modellierungsentwicklung liegt. F\u00fcr alle, die Anforderungsingenieurwesen, UML-Modellierung oder agile User-Story-Verfeinerung betreiben, machen diese KI-Funktionen die Verfeinerungsleiter im Jahr 2026 deutlich leistungsf\u00e4higer und praktikabler.<\/p>\n<div class=\"related-resources-box\" style=\"margin-top: 2rem; padding-top: 1rem; border-top: 1px solid #e2e8f0;\">\n<h3 style=\"font-size: 1.25rem; font-weight: 700; color: #1e293b; margin-bottom: 0.75rem;\">Verwandte Ressourcen<\/h3>\n<ul class=\"resource-bullets\" style=\"list-style-type: disc; padding-left: 1.5rem; margin-bottom: 1rem;\">\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/ai.visual-paradigm.com\/use-case-to-activity-diagram\/editor\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">KI-gest\u00fctzter Editor zum Konvertieren von Use Cases in Aktivit\u00e4tsdiagramme<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/blog.visual-paradigm.com\/\ud83d\ude80-generate-activity-diagrams-from-use-cases-instantly-\ud83d\ude80\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Erstellen Sie Aktivit\u00e4tsdiagramme aus Use Cases sofort mit der KI von Visual Paradigm<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.fliplify.com\/comprehensive-guide-transforming-use-cases-into-uml-activity-diagrams-with-ai\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Komplette Anleitung: Umwandlung von Use Cases in UML-Aktivit\u00e4tsdiagramme mit KI<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.diagrams-ai.com\/blog\/mastering-uml-activity-diagrams-ai-visual-paradigm\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Beherrschen von UML-Aktivit\u00e4tsdiagrammen mit KI | Visual Paradigm Blog<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.cybermedian.com\/mastering-swimlane-activity-diagrams-a-practical-guide-with-examples\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Beherrschen von Swimlane-Aktivit\u00e4tsdiagrammen: Eine praktische Anleitung mit Beispielen<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.diagrams-ai.com\/blog\/integrating-ai-activity-diagrams-into-visual-paradigm\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Integration von KI-Aktivit\u00e4tsdiagrammen in Ihr Visual Paradigm \u2026<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/circle.visual-paradigm.com\/activity-diagram-example-swimlane\/\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Aktivit\u00e4tsdiagramm, UML-Diagramm-Beispiel: Swimlane \u2013 Visual Paradigm Community Circle<\/a><\/li>\n<li style=\"margin-bottom: 0.5rem;\"><a href=\"https:\/\/www.visual-paradigm.com\/learning\/handbooks\/software-design-handbook\/activity-diagram.jsp\" rel=\"noopener\" style=\"color: #2563eb; text-decoration: underline;\" target=\"_blank\">Aktivit\u00e4tsdiagramme im Softwareentwurf | Visual Paradigm Handbuch<\/a><\/li>\n<\/ul>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>In der komplexen Landschaft der Anforderungstechnik und UML-(Unified Modeling Language)-Modellierung ist Klarheit entscheidend. Drei spezifische Artefakte bilden ein eng verzahntes Dreigestirn, das diese Klarheit gew\u00e4hrleistet: das Use Case, das Use&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_yoast_wpseo_title":"Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme: Eine Anleitung","_yoast_wpseo_metadesc":"Erforschen Sie, wie die Verbindung von Use Cases, textuellen Beschreibungen und Aktivit\u00e4tsdiagrammen einen leistungsf\u00e4higen Workflow zur Entdeckung versteckter Anforderungen und Gesch\u00e4ftslogik schafft.","fifu_image_url":"","fifu_image_alt":"","footnotes":""},"categories":[82],"tags":[],"class_list":["post-3133","post","type-post","status-publish","format-standard","hentry","category-ai-visual-modeling"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme: Eine Anleitung<\/title>\n<meta name=\"description\" content=\"Erforschen Sie, wie die Verbindung von Use Cases, textuellen Beschreibungen und Aktivit\u00e4tsdiagrammen einen leistungsf\u00e4higen Workflow zur Entdeckung versteckter Anforderungen und Gesch\u00e4ftslogik schafft.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme: Eine Anleitung\" \/>\n<meta property=\"og:description\" content=\"Erforschen Sie, wie die Verbindung von Use Cases, textuellen Beschreibungen und Aktivit\u00e4tsdiagrammen einen leistungsf\u00e4higen Workflow zur Entdeckung versteckter Anforderungen und Gesch\u00e4ftslogik schafft.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/\" \/>\n<meta property=\"og:site_name\" content=\"Go 2 Posts German | Breaking Digital News &amp; Software Trends\" \/>\n<meta property=\"article:published_time\" content=\"2026-02-24T03:31:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png\" \/>\n<meta name=\"author\" content=\"vpadmin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Verfasst von\" \/>\n\t<meta name=\"twitter:data1\" content=\"vpadmin\" \/>\n\t<meta name=\"twitter:label2\" content=\"Gesch\u00e4tzte Lesezeit\" \/>\n\t<meta name=\"twitter:data2\" content=\"11\u00a0Minuten\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/\"},\"author\":{\"name\":\"vpadmin\",\"@id\":\"https:\/\/www.go2posts.com\/de\/#\/schema\/person\/c083cc17ddd91b7201d38579fe36292d\"},\"headline\":\"Von der Scope zur visuellen Logik: Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme meistern\",\"datePublished\":\"2026-02-24T03:31:46+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/\"},\"wordCount\":2298,\"publisher\":{\"@id\":\"https:\/\/www.go2posts.com\/de\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png\",\"articleSection\":[\"AI Visual Modeling\"],\"inLanguage\":\"de\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/\",\"url\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/\",\"name\":\"Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme: Eine Anleitung\",\"isPartOf\":{\"@id\":\"https:\/\/www.go2posts.com\/de\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png\",\"datePublished\":\"2026-02-24T03:31:46+00:00\",\"description\":\"Erforschen Sie, wie die Verbindung von Use Cases, textuellen Beschreibungen und Aktivit\u00e4tsdiagrammen einen leistungsf\u00e4higen Workflow zur Entdeckung versteckter Anforderungen und Gesch\u00e4ftslogik schafft.\",\"breadcrumb\":{\"@id\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#breadcrumb\"},\"inLanguage\":\"de\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#primaryimage\",\"url\":\"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png\",\"contentUrl\":\"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.go2posts.com\/de\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Von der Scope zur visuellen Logik: Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme meistern\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.go2posts.com\/de\/#website\",\"url\":\"https:\/\/www.go2posts.com\/de\/\",\"name\":\"Go 2 Posts German | Breaking Digital News &amp; Software Trends\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.go2posts.com\/de\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.go2posts.com\/de\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"de\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.go2posts.com\/de\/#organization\",\"name\":\"Go 2 Posts German | Breaking Digital News &amp; Software Trends\",\"url\":\"https:\/\/www.go2posts.com\/de\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\/\/www.go2posts.com\/de\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.go2posts.com\/de\/wp-content\/uploads\/sites\/21\/2025\/01\/logo.png\",\"contentUrl\":\"https:\/\/www.go2posts.com\/de\/wp-content\/uploads\/sites\/21\/2025\/01\/logo.png\",\"width\":341,\"height\":46,\"caption\":\"Go 2 Posts German | Breaking Digital News &amp; Software Trends\"},\"image\":{\"@id\":\"https:\/\/www.go2posts.com\/de\/#\/schema\/logo\/image\/\"}},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.go2posts.com\/de\/#\/schema\/person\/c083cc17ddd91b7201d38579fe36292d\",\"name\":\"vpadmin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"de\",\"@id\":\"https:\/\/www.go2posts.com\/de\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/56e0eb902506d9cea7c7e209205383146b8e81c0ef2eff693d9d5e0276b3d7e3?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/56e0eb902506d9cea7c7e209205383146b8e81c0ef2eff693d9d5e0276b3d7e3?s=96&d=mm&r=g\",\"caption\":\"vpadmin\"},\"sameAs\":[\"https:\/\/www.go2posts.com\"],\"url\":\"https:\/\/www.go2posts.com\/de\/author\/vpadmin\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme: Eine Anleitung","description":"Erforschen Sie, wie die Verbindung von Use Cases, textuellen Beschreibungen und Aktivit\u00e4tsdiagrammen einen leistungsf\u00e4higen Workflow zur Entdeckung versteckter Anforderungen und Gesch\u00e4ftslogik schafft.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/","og_locale":"de_DE","og_type":"article","og_title":"Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme: Eine Anleitung","og_description":"Erforschen Sie, wie die Verbindung von Use Cases, textuellen Beschreibungen und Aktivit\u00e4tsdiagrammen einen leistungsf\u00e4higen Workflow zur Entdeckung versteckter Anforderungen und Gesch\u00e4ftslogik schafft.","og_url":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/","og_site_name":"Go 2 Posts German | Breaking Digital News &amp; Software Trends","article_published_time":"2026-02-24T03:31:46+00:00","og_image":[{"url":"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png","type":"","width":"","height":""}],"author":"vpadmin","twitter_card":"summary_large_image","twitter_misc":{"Verfasst von":"vpadmin","Gesch\u00e4tzte Lesezeit":"11\u00a0Minuten"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#article","isPartOf":{"@id":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/"},"author":{"name":"vpadmin","@id":"https:\/\/www.go2posts.com\/de\/#\/schema\/person\/c083cc17ddd91b7201d38579fe36292d"},"headline":"Von der Scope zur visuellen Logik: Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme meistern","datePublished":"2026-02-24T03:31:46+00:00","mainEntityOfPage":{"@id":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/"},"wordCount":2298,"publisher":{"@id":"https:\/\/www.go2posts.com\/de\/#organization"},"image":{"@id":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#primaryimage"},"thumbnailUrl":"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png","articleSection":["AI Visual Modeling"],"inLanguage":"de"},{"@type":"WebPage","@id":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/","url":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/","name":"Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme: Eine Anleitung","isPartOf":{"@id":"https:\/\/www.go2posts.com\/de\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#primaryimage"},"image":{"@id":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#primaryimage"},"thumbnailUrl":"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png","datePublished":"2026-02-24T03:31:46+00:00","description":"Erforschen Sie, wie die Verbindung von Use Cases, textuellen Beschreibungen und Aktivit\u00e4tsdiagrammen einen leistungsf\u00e4higen Workflow zur Entdeckung versteckter Anforderungen und Gesch\u00e4ftslogik schafft.","breadcrumb":{"@id":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#breadcrumb"},"inLanguage":"de","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/"]}]},{"@type":"ImageObject","inLanguage":"de","@id":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#primaryimage","url":"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png","contentUrl":"https:\/\/cdn-images.visual-paradigm.com\/guide\/uml\/what-is-use-case-diagram\/02-use-case-diagram-annotated.png"},{"@type":"BreadcrumbList","@id":"https:\/\/www.go2posts.com\/de\/from-scope-to-visual-logic-mastering-use-cases-descriptions-and-activity-diagrams-2\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.go2posts.com\/de\/"},{"@type":"ListItem","position":2,"name":"Von der Scope zur visuellen Logik: Use Cases, Beschreibungen und Aktivit\u00e4tsdiagramme meistern"}]},{"@type":"WebSite","@id":"https:\/\/www.go2posts.com\/de\/#website","url":"https:\/\/www.go2posts.com\/de\/","name":"Go 2 Posts German | Breaking Digital News &amp; Software Trends","description":"","publisher":{"@id":"https:\/\/www.go2posts.com\/de\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.go2posts.com\/de\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"de"},{"@type":"Organization","@id":"https:\/\/www.go2posts.com\/de\/#organization","name":"Go 2 Posts German | Breaking Digital News &amp; Software Trends","url":"https:\/\/www.go2posts.com\/de\/","logo":{"@type":"ImageObject","inLanguage":"de","@id":"https:\/\/www.go2posts.com\/de\/#\/schema\/logo\/image\/","url":"https:\/\/www.go2posts.com\/de\/wp-content\/uploads\/sites\/21\/2025\/01\/logo.png","contentUrl":"https:\/\/www.go2posts.com\/de\/wp-content\/uploads\/sites\/21\/2025\/01\/logo.png","width":341,"height":46,"caption":"Go 2 Posts German | Breaking Digital News &amp; Software Trends"},"image":{"@id":"https:\/\/www.go2posts.com\/de\/#\/schema\/logo\/image\/"}},{"@type":"Person","@id":"https:\/\/www.go2posts.com\/de\/#\/schema\/person\/c083cc17ddd91b7201d38579fe36292d","name":"vpadmin","image":{"@type":"ImageObject","inLanguage":"de","@id":"https:\/\/www.go2posts.com\/de\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/56e0eb902506d9cea7c7e209205383146b8e81c0ef2eff693d9d5e0276b3d7e3?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/56e0eb902506d9cea7c7e209205383146b8e81c0ef2eff693d9d5e0276b3d7e3?s=96&d=mm&r=g","caption":"vpadmin"},"sameAs":["https:\/\/www.go2posts.com"],"url":"https:\/\/www.go2posts.com\/de\/author\/vpadmin\/"}]}},"_links":{"self":[{"href":"https:\/\/www.go2posts.com\/de\/wp-json\/wp\/v2\/posts\/3133","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.go2posts.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.go2posts.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.go2posts.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.go2posts.com\/de\/wp-json\/wp\/v2\/comments?post=3133"}],"version-history":[{"count":0,"href":"https:\/\/www.go2posts.com\/de\/wp-json\/wp\/v2\/posts\/3133\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.go2posts.com\/de\/wp-json\/wp\/v2\/media?parent=3133"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.go2posts.com\/de\/wp-json\/wp\/v2\/categories?post=3133"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.go2posts.com\/de\/wp-json\/wp\/v2\/tags?post=3133"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}