Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2436

 Title: Data Mining for Software Development Life Cycle Quality Management Authors: Nedeltcheva, Galia Keywords: Data MiningSoftware EngineeringSoftware DevelopmentData MiningQuality Management Issue Date: 2014 Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences Citation: Serdica Journal of Computing, Vol. 8, No 2, (2014), 183p-198p Abstract: Computer software plays an important role in business, government, society and sciences. To solve real-world problems, it is very important to measure the quality and reliability in the software development life cycle (SDLC). Software Engineering (SE) is the computing field concerned with designing, developing, implementing, maintaining and modifying software. The present paper gives an overview of the Data Mining (DM) techniques that can be applied to various types of SE data in order to solve the challenges posed by SE tasks such as programming, bug detection, debugging and maintenance. A specific DM software is discussed, namely one of the analytical tools for analyzing data and summarizing the relationships that have been identified. The paper concludes that the proposed techniques of DM within the domain of SE could be well applied in fields such as Customer Relationship Management (CRM), eCommerce and eGovernment. ACM Computing Classification System (1998): H.2.8. URI: http://hdl.handle.net/10525/2436 ISSN: 1312-6555 Appears in Collections: Volume 8 Number 2

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