Software Testing and Debugging Techniques

Bug localization in multi-repository microservice architectures is challenging due to the semantic gap between natural language bug reports and code, LLM context limitations, and the need to first identify the correct repository. We propose reframing this as a natural language reasoning task by transforming codebases…

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Vulnerability detection is a preventive approach for performing rigorous maintenance on software projects. In cross-domain settings, in-domain methods cannot achieve high VD performance due to differences in data distribution and labeling. Existing cross-domain VD methods suffer from the following limitations: 1) They…

The complete convergence trace of every run of two pre-registered experiments on the invariance properties of metaheuristics: 2,079,000 runs for the main experiment and 191,100 for the repair arm, plus 11,700 runs of a tuning robustness check (5,850 with published defaults and 5,850 with the tuned configuration beside…

Automated unit testing methods in the software development process are crucial for reducing costs, improving product quality, and ensuring system reliability. While current Large Language Models (LLMs) are highly successful in general-purpose code generation, they may fall short in ensuring structural integrity and pr…

Automated unit testing methods in the software development process are crucial for reducing costs, improving product quality, and ensuring system reliability. While current Large Language Models (LLMs) are highly successful in general-purpose code generation, they may fall short in ensuring structural integrity and pr…

Software Size Measurement (SSM) is crucial for estimating required project effort as well as budget and schedule. However, many small and medium-sized companies struggle to apply objective SSM due to limited resources and lack of expertise. This often leads to inaccurate estimates and project overruns. There is a need…

Final results of the publication: Large Language Models for Software Size Measurement: A Systematic Literature Review of Applications, Effectiveness, and Challenges. These documents show the results of the whole search process, step by step. Specifically, the documents contain the results of the selection process, the…

Final results of the publication: Large Language Models for Software Size Measurement: A Systematic Literature Review of Applications, Effectiveness, and Challenges. These documents show the results of the whole search process, step by step. Specifically, the documents contain the results of the selection process, the…

Automatic white-box test data generation is an essential problem in software engineering that must deal with exploring large and complex input spaces for achieving high code coverage without losing diversity in the test suite. While traditional metaheuristic algorithms (such as Genetic Algorithms (GA) and Particle Swa…

In the context of the accuracy, dependability, and security of application programming interfaces (APIs), the importance of API testing is undeniable. Nevertheless, the effort required to comprehensively test APIs is significant, especially when creating valid API test cases. This study seeks to develop a framework th…

Assessing the correctness of patches generated by Automated Program Repair (APR) is a major bottleneck. Manual validation is labor-intensive and limited: exact matching overlooks valid variants, while semantic inspection is subjective and hard to reproduce. Existing Automated Patch Correctness Assessment (APCA) often…