1. Automated Software Testing
In Automated Software Testing, the main goal is to
generate a test suite that thoroughly tests the Class-Under-Test
(CUT). It has become an active research topic in software
engineering in recent years, with a variety of techniques
developed by academics and industry practitioners. However, we
still lack precise knowledge of what makes a particular testing
technique effective on a given piece of software. Through the
instance space shown here, we analyze the performance of six
widely used Automated Testing Techniques on 1084 CUTs and
identify the features of the CUT which impact the performance of
these portfolio algorithms. Moreover, we identify similarities
and differences between CUTs, providing an understanding of the
level of difficulty, bias and diversity of the commonly used
automated testing benchmarks.
| Research Publications |
Downloads |
Instance Space Analysis |
Neelofar, N., Smith-Miles, K., Muñoz, M. A., & Aleti, A. (2022). Instance Space Analysis of Search-Based Software Testing. IEEE Transactions on Software Engineering, 49(4), 2642-2660.
Oliveira, C., Aleti, A., Grunske, L., & Smith-Miles,
K. (2018). Mapping the effectiveness of automated test suite
generation techniques. IEEE Transactions on Reliability,
67(3), 771-785. |
Metadata
Instances-SF110
Instances-Collections
Code for feature selection and
test generation |
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