A systematic literature review: Effects of Anti-Patterns on Software Maintenance

  • Navneet Chaudhry1, Mandeep Singh 2

Abstract

Anti-patterns are the faultswhich negatively affect the performance of the device. An identification of
anti-patterns is called code smell leading to software refactoring. Therefore it is difficult to manage
the maintenance. As much the number of smells needs further refactoring. Various methods for
detecting anti-patterns in the system have been
established.This paper is analyzing the effect of antipatterns on classes and which seem to be
other forms of anti-patterns that shows the greater effect than others. Eventually, the outcomes for the
future research of open source systems have been concluded.This paper is partitioned into four parts,
in which the forms of anti-patterns follow the introduction. In addition the associated study was
thoroughly analyzed with a brief description. Thus the paper shows variousmethods to recognize code
smells. Due to this, the identification of smells would be beneficial in ensuring greater reliability
during maintenance andtesting processes by detecting faults and anti-patterns prior to product
delivery.Therefore, the detection of anti-patterns will allow administrators and programmers to
enhance the maintenance activities of software development.

Published
2020-05-20
How to Cite
Navneet Chaudhry1, Mandeep Singh 2. (2020). A systematic literature review: Effects of Anti-Patterns on Software Maintenance. International Journal of Advanced Science and Technology, 29(10s), 2379-2386. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/16867
Section
Articles