Applications of Data Mining in Software Development Life Cycle: A Literature Survey and Classification

Applications of Data Mining in Software Development Life Cycle: A Literature Survey and Classification

Naveen Dahiya (MSIT, India), Vishal Bhatnagar (AIACT&R, India), Manjeet Singh (YMCAUST, India) and Neeti Sangwan (MSIT, India)
DOI: 10.4018/978-1-4666-9562-7.ch029
OnDemand PDF Download:
List Price: $37.50
10% Discount:-$3.75


Data mining has proven to be an important technique in terms of efficient information extraction, classification, clustering, and prediction of future trends from a database. The valuable properties of data mining have been put to use in many applications. One such application is Software Development Life Cycle (SDLC), where effective use of data mining techniques has been made by researchers. An exhaustive survey on application of data mining in SDLC has not been done in the past. In this chapter, the authors carry out an in-depth survey of existing literature focused towards application of data mining in SDLC and propose a framework that will classify the work done by various researchers in identification of prominent data mining techniques used in various phases of SDLC and pave the way for future research in the emerging area of data mining in SDLC.
Chapter Preview

2. Research Methodology

Software development is the basic and most important field for anyone (researcher, academician, scientist, business analyst, developer) who deals with software of any kind for developing new applications or refinement of existing applications. Several approaches and techniques have been proposed for development of efficient software but the basic developmental phases remain same. The continuous and rigorous study of the literature in the field of SDLC tempted the authors to look for new emerging techniques for efficient development of software. The most effective and emerging technique, identified by authors, playing a vital role in all phases of software development is DM. This urged the authors to search for an exhaustive literature on applications of DM in SDLC. As the search domain is vast and ever expanding in nature, the relevant material was found to be spread in different journals and conferences. Following journals and conferences database have been searched regarding the literature on application of DM in SDLC:

  • 1.

    IEEE Publication.

  • 2.

    Inderscience Publication.

  • 3.

    Springer Publication.

  • 4.

    Science Direct Publication.

  • 5.

    ACM Publication.

  • 6.

    Wiley Inderscience Publication.

  • 7.

    IGI Global Publication.

  • 8.

    Sage Publication.

  • 9.

    World Scientific Publication.

Complete Chapter List

Search this Book: