Details

Autor(en) / Beteiligte

• Golmohammadi, Amid
• Zhang, Man
• Arcuri, Andrea

Titel

NET/C# instrumentation for search-based software testing

Ist Teil von

• Software quality journal, 2023-12, Vol.31 (4), p.1439-1465

Ort / Verlag

New York: Springer US

Erscheinungsjahr

2023

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• C# is one of the most widely used programming languages. However, to the best of our knowledge, there has been no work in the literature aimed at enabling search-based software testing techniques for applications running on the .NET platform, like the ones written in C#. In this paper, we propose a search-based approach and an open source tool to enable white-box testing for C# applications. The approach is integrated with a .NET bytecode instrumentation, in order to collect code coverage at runtime during the search. In addition, by taking advantage of Branch Distance , we define heuristics to better guide the search, e.g., how heuristically close it is to cover a branch in the source code. To empirically evaluate our technique, we integrated our tool into the EvoMaster  test generation tool and conducted experiments on three .NET RESTful APIs as case studies. Results show that our technique significantly outperforms gray-box testing tools in terms of code coverage.