Software Change Prediction: A Systematic Review and Future Guidelines

Autor: Ruchika Malhotra, Megha Khanna

Publikováno v: e-Informatica Software Engineering Journal, Vol 13, Iss 1, Pp 227-259 (2019)

Background: The importance of Software Change Prediction (SCP) has been emphasized by several studies. Numerous prediction models in literature claim to effectively predict change-prone classes in software products. These models help software manager

Externí odkaz: https://doaj.org/article/9ceda89ffb3e4d96b81f4f3397d03669

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Publikováno v: The Lancet.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5cba4fd084a7f9be6daac6be3e2ea567
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Numerous research studies have claimed that search-based algorithms have the potential to be effectively used in various software engineering domains. An important task in software organizations is to efficiently recognize change prone classes of a s

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Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b6b1985259ada48d9d2b8ecda48028c9
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Publikováno v: 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS).

The complex nature of human immunology algorithms has motivated the research community to explore their practical applications in various other fields. As a result, Artificial Immune Systems (AISs) is one such class of algorithms that has found its w

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