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Software Testing or The Bugs’ Nightmare
Author(s) -
Héctor D. Menéndez
Publication year - 2021
Language(s) - English
DOI - 10.46723/ojse.1.1.1
Subject(s) - computer science , software bug , symbolic execution , software testing , software engineering , software , security bug , data science , programming language , cloud computing , software security assurance , operating system , cloud computing security
Software development is not error-free. For decades, bugs –including physical ones– have become a significant development problem requiring major maintenance efforts. Even in some cases, solving bugs led to increment them. One of the main reasons for bug’s prominence is their ability to hide. Finding them is difficult and costly in terms of time and resources. However, software testing made significant progress identifying them by using different strategies that combine knowledge from every single part of the program. This paper humbly reviews some different approaches from software testing that discover bugs automatically and presents some different state-of-the-art methods and tools currently used in this area. It covers three testing strategies: search-based methods, symbolic execution, and fuzzers. It also provides some income about the application of diversity in these areas, and common and future challenges on automatic test generation that still need to be addressed.

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