To this traditional sequence information, Imagix 4D adds a second critical component of advanced analysis - indication of the conditionality controlling the object interactions. Imagix 4D generates sequence diagrams to aid in understanding and analysis of existing source code, by extending control flow analysis of the interactions between functions and variables beyond what can be depicted in and understood from standard call trees.įrom its database containing comprehensive control and data flow information about the software being studied, Imagix 4D creates sequence diagrams to provide greater insight into the order of function calls and variable usage than exists in standard call trees. This third use is also valuable when reverse engineering an existing software system, in order to display aspects of control flow for the software. They are used to show details of use case diagrams, to model how messages and tasks move between components in a system, and to visualize the logic behind a sophisticated function, operation or procedure. When forward engineering a software system, there are three areas where sequence diagrams are often applied. It displays the objects involved in a system, indicating how and in what order the objects function. 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.A sequence diagram shows interactions between objects in temporal order. 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.
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