Search-Based Software Testing

JUGE: An infrastructure for benchmarking Java unit test generators

Researchers and practitioners have designed and implemented various automated test case generators to support effective software testing. Such generators exist for various languages (e.g., Java, C#, or Python) and various platforms (e.g., desktop, …

Generating Class-Level Integration Tests Using Call Site Information

Search-based approaches have been used in the literature to automate the process of creating unit test cases. However, related work has shown that generated tests with high code coverage could be ineffective, i.e., they may not detect all faults or …

Basic block coverage for search-based unit testing and crash reproduction

Search-based techniques have been widely used for white-box test generation. Many of these approaches rely on the approach level and branch distance heuristics to guide the search process and generate test cases with high line and branch coverage. …

Basic Block Coverage for Unit Test Generation at the SBST 2022 Tool Competition

Basic Block Coverage (BBC) is a secondary objective for search- based unit test generation techniques relying on the approach level and branch distance to drive the search process. Unlike the approach level and branch distance, which considers only …

SSBSE 2021 Program co-chair

Last Monday and Tuesday 11 and 12 October 2021 took place the 13th edition of the Symposium on Search-Based Software Engineering (SSBSE ’21). This symposium is held every year and brings together specialists in evolutionary computation applied to software engineering (SBSE).

JUnit Testing Tool Competition

The JUnit Testing Tool Competition is held at the SBST workshop co-located with ICSE. The contest's infrastructure (JUGE) has been developed and used in testing contests during yearly events since 2013.

Crash reproduction difficulty, an initial assessment

This study presents the initial step towards a thorough analysis of the difficulty to reproduce a crash using search-based crash reproduction. Traditionally, code size and complexity are considered representative indicators of the difficulty for …

SSBSE 2020 Best Paper Award

Last Thursday (08/10/2020), we received a best paper award for our paper entitled It is not Only About Control Dependent Nodes: Basic Block Coverage for Search-Based Crash Reproduction. In this paper, we revisit the approach level and branch distance heuristics widely used for white-box test generation.

An Application of Model Seeding to Search-based Unit Test Generation for Gson

Model seeding is a strategy for injecting additional information in a search-based test generation process in the form of models, representing usages of the classes of the software under test. These models are used during the search-process to …

Commonality-Driven Unit Test Generation

Various search-based test generation techniques have been proposed to automate the generation of unit tests fulfilling different criteria (e.g., line coverage, branch coverage, mutation score, etc.). Despite several advances made over the years, …