Student research abstract : A methodology to predict the instable classes

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Detail(s)

Original languageEnglish
Title of host publicationProceedings of the ACM Symposium on Applied Computing
Place of PublicationMarakesh
PublisherAssociation for Computing Machinery
Pages1307-1308
VolumePart F128005
ISBN (Print)9781450344869
Publication statusPublished - Apr 2017

Publication series

Name
VolumePart F128005

Conference

Title32nd Annual ACM Symposium on Applied Computing, SAC 2017
PlaceMorocco
CityMarrakesh
Period4 - 6 April 2017

Abstract

Class stability is intrinsically characterized by the evolution of
a number of dependencies and change propagation factors used to promote the ripple effect. In this regard, historical information regarding change propagation factors can aid to identify the classes prone to ripple effect (that is instable classes). In this paper, we propose a methodology to exploit the versions history of change propagation factors in order to predict the instable classes. Initially, we have implemented the proposed methodology with version history of three open source projects MongoDB Java Driver, Google Guava and Apache MyFaces and obtained promising results as compared to existing stability assessors. Subsequently, the experimental results indicate that proposed methodology can be used to identify the classes prone to ripple effect and can aid developers to reduce the efforts needed to maintain and evolve the system.

Research Area(s)

  • Classifiers, Propagation factors, Ripple effect, Stability

Citation Format(s)

Student research abstract : A methodology to predict the instable classes. / Hussain, Shahid.

Proceedings of the ACM Symposium on Applied Computing. Vol. Part F128005 Marakesh : Association for Computing Machinery, 2017. p. 1307-1308.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)