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A Systematic Review of the Approaches for Anti-Pattern Detection and Correction

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dc.contributor.author MUMTAZ, SYEDA GHANA
dc.date.accessioned 2019-10-30T10:14:47Z
dc.date.available 2019-10-30T10:14:47Z
dc.date.issued 2017-01-01
dc.identifier.issn 2519-5404
dc.identifier.uri http://142.54.178.187:9060/xmlui/handle/123456789/795
dc.description.abstract Pattern is a prominent strategy amongst the most basic and capable strategies to enhance the outline, and subsequently upgrade the practicality and reusability of code. Antipattern identification is a helpful procedure for picking up information on the outline issues of existing systems and enhances the system's perceptions, which therefore upgrade the product viability and development. Various reviews have been directed and many tools have been produced to recognize anti-patterns, while just few reviews have considered the anti-pattern correction, which has not been researched with a similar degree of anti-pattern correction. Antipattern detection and correction approach combined together will be an effective approach to handle issues that arises during software modification. This paper reviews the existing approaches for anti-pattern detection and correction. en_US
dc.language.iso en_US en_US
dc.publisher PASTIC en_US
dc.subject Anti-patterns en_US
dc.subject Code smell en_US
dc.subject Software refactoring en_US
dc.subject PASTIC en_US
dc.title A Systematic Review of the Approaches for Anti-Pattern Detection and Correction en_US
dc.type Article en_US


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