If an adult saw a lumpy hat, the Narrator spoke about golf and bridge and politics he never mentioned jungles or boa constrictors or stars. As an adult, he used the boa drawing to decide what topics to talk about with other adults. The child grew up, became a pilot, and flew worldwide (not the worst). When he showed it to adults, they all thought it was a lumpy hat and suggested he stop messing about and study the “important subjects” in school instead. Here is a boa roentgen, if you have any doubts. He drew a picture of the boa in this state. Okay, briefly, when he was a child, the Narrator read a book on jungles and was fascinated by the fact that a boa constructor swallows his prey whole and then sleeps for few months while digesting the meal. I will summarise only the part that is relevant to the current article. Have you read Antoine de Saint-Exupéry’s novel? In this article, I’m about to show you the notations of these interactions through “The Little Prince” narrator’s interactions with the world around him. In general, a Sequence diagram describes how and in what order objects in our system interact with each other, arranged in time sequence. Implementation designs of each new feature I’m working on are loaded with Sequence diagrams. UML sequence diagrams are visual representations of object interactions in a system and can provide valuable information for program comprehension, debugging, maintenance, and software archeology.The most used by me (and my favorite) UML diagram is Sequence Diagram. Sequence diagrams generated from legacy code are independent of existing documentation that may have eroded. We present a framework for static generation of UML sequence diagrams from object-oriented source code. The framework provides a query refinement system to guide the user to interesting interactions in the source code.
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. 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.