Search-based software testing (SBST) is now a mature area, with numerous techniques developed to tackle the challenging task of software testing. SBST techniques have shown promising results and have been successfully applied in the industry to automatically generate test cases for large and complex software systems. Their effectiveness, however, has been shown to be problem dependent.

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[1] Neelofar Neelofar, "Instance Space Analysis of Search-Based Software Testing", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/febw-8f31. Accessed: Jun. 23, 2024.
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url = {http://dx.doi.org/10.21227/febw-8f31},
author = {Neelofar Neelofar },
publisher = {IEEE Dataport},
title = {Instance Space Analysis of Search-Based Software Testing},
year = {2022} }
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T1 - Instance Space Analysis of Search-Based Software Testing
AU - Neelofar Neelofar
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Neelofar Neelofar. (2022). Instance Space Analysis of Search-Based Software Testing. IEEE Dataport. http://dx.doi.org/10.21227/febw-8f31
Neelofar Neelofar, 2022. Instance Space Analysis of Search-Based Software Testing. Available at: http://dx.doi.org/10.21227/febw-8f31.
Neelofar Neelofar. (2022). "Instance Space Analysis of Search-Based Software Testing." Web.
1. Neelofar Neelofar. Instance Space Analysis of Search-Based Software Testing [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/febw-8f31
Neelofar Neelofar. "Instance Space Analysis of Search-Based Software Testing." doi: 10.21227/febw-8f31