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Heterogeneous Cross Project Defect Prediction – A Survey

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Futuristic Trends in Networks and Computing Technologies (FTNCT 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1206))

Abstract

In the testing phase of Software Development Life Cycle (SDLC), Software Defect Prediction (SDP) is one of the pivotal task which finds the modules that are more vulnerable to defects and therefore need substantial testing for the early identification of these defects. A lot of work has been done on Cross - Project Defect Prediction (CPDP) that aims to predict defects in the target project lacking in historical defect prediction data or having limited defect data to build an effective generalized defect prediction model. Mostly, CPDP approaches predict the defects in target project on the basis of similar metrics found between source and target project. This paper focuses on the prediction of defects using a Heterogeneous metric set such that no common metrics exist between the source and the target projects. In this paper, a systematic literature study has been done to quote the main findings about CPDP from year 2002 to 2019. The main purpose of this survey is to put forward the adequate content in front of computer science researchers for exploring the specific area and to provide various future directions in this field.

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Authors and Affiliations

  1. CSE Department, Jamia Millia Islamia, Delhi, India

    Rohit Vashisht & Syed Afzal Murtaza Rizvi

Authors
  1. Rohit Vashisht
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  2. Syed Afzal Murtaza Rizvi
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Correspondence to Rohit Vashisht .

Editor information

Editors and Affiliations

  1. Jaypee University of Information Technology, Waknaghat, Himachal Pradesh, India

    Pradeep Kumar Singh

  2. CDAC, Mohali, India

    Sanjay Sood

  3. Jaypee University of Information Technology, Solan, Himachal Pradesh, India

    Yugal Kumar

  4. Polish Academy of Sciences, Warsaw, Poland

    Marcin Paprzycki

  5. Southern Federal University, Rostov-on-Don, Russia

    Anton Pljonkin

  6. Jiangsu Normal University, Xuzhou, China

    Wei-Chiang Hong

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Vashisht, R., Rizvi, S.A.M. (2020). Heterogeneous Cross Project Defect Prediction – A Survey. In: Singh, P., Sood, S., Kumar, Y., Paprzycki, M., Pljonkin, A., Hong, WC. (eds) Futuristic Trends in Networks and Computing Technologies. FTNCT 2019. Communications in Computer and Information Science, vol 1206. Springer, Singapore. https://doi.org/10.1007/978-981-15-4451-4_22

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  • DOI: https://doi.org/10.1007/978-981-15-4451-4_22

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4450-7

  • Online ISBN: 978-981-15-4451-4

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