Our technique involves constructing a hypergraph representation of the source code, traversing the hypergraph with respect to a user-defined query, and generating the corresponding set of sequence diagrams. We implemented our framework as a tool, StaticGen (supporting software: StaticGen), analyzing a corpus of 30 Android applications. We provide experimental results demonstrating the efficacy of our technique (originally appeared in the Proceedings of Fundamental Approaches to Software Engineering-20th International Conference, FASE 2017, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2017, Uppsala, Sweden, April 22–29, 2017). Legacy object-oriented code may be accompanied by high-level documentation and/or descriptive comments in the source code, each of which may contain omissions or erroneous information. As documentation erodes, an engineer can trust only the source code. A necessary component of software archeology in object-oriented systems is the interactions among objects. A sequence diagram is a visual representation of those object interactions as well as their lifelines. Sequence diagrams generated from legacy code are independent of existing documentation. Dynamic techniques for generation of sequence diagrams from legacy code can synthesize a subset of all possible sequence diagrams based on runtime traces. The capability of purely dynamic reverse-engineering techniques to produce useful diagrams depends on the quality of the executions. In particular, one may need a large number of executions with sufficient diversity to cover the space of interactions. ![]() Existing static techniques result in sequence diagrams that replicate the original legacy source code, including conditionals and loops, without providing further intuitive notions beyond the code itself. Hybrid techniques like combine static and dynamic analysis. Information extracted from an accurate static analysis framework can guide the executions during the dynamic stage. ![]() Otherwise, simply paste the code to to generate the sequence diagram shown above.1, for static generation of UML sequence diagrams Footnote 1 together with a query system to guide the user to the most interesting interactions in the (unobfuscated) source code Footnote 2 Given an existing object-oriented code base as input, our technique involves three distinct steps as shown in Fig. If you have installed ZenUML Diagrams for Confluence(FREEMIUM) | Atlassian Marketplace, you can incorporate a Diagram Macro to your confluence page and paste the above Code to the editor. Examples: for(condition) Step 3: Generate Sequence Diagram with ZenUML Creation message: Represents the creation of a new instance of a class. Sync message: Represents a synchronous message between participants. Whenever possible put the whole process together instead of split it into multiple processes.īookRepository.“Update the table by id etc.”ġ. Do not explain the DSL you generate.ĭo not generate classes. Step 2: Past the following prompt to ChatGPT Here is a DSL example. We suggest utilizing GPT-4, as GPT-3.5 may not consistently deliver the same level of response quality. For instance, the diagram displayed on the right has been crafted from the paragraphs on the left.Įxperience this groundbreaking technology firsthand by giving it a try yourself. ![]() However, the advent of ChatGPT has revolutionized this process by empowering users to create diagrams using natural language. ![]() In fact, a plethora of tools, including ZenUML, Mermaid, and PlantUML, have long since provided this functionality. The concept of generating sequence diagrams from text or code is far from novel.
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