Bug Handling in Service Sector Software

Bug Handling in Service Sector Software

Anjali Goyal (JIIT, India) and Neetu Sardana (JIIT, India)
Copyright: © 2017 |Pages: 20
DOI: 10.4018/978-1-5225-2148-8.ch004
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Abstract

The technology enabled service industry is emerging as the most dynamic sectors in world's economy. Various service sector industries such as financial services, banking solutions, telecommunication, investment management, etc. completely rely on using large scale software for their smooth operations. Any malwares or bugs in these software is an issue of big concern and can have serious financial consequences. This chapter addresses the problem of bug handling in service sector software. Predictive analysis is a helpful technique for keeping software systems error free. Existing research in bug handling focus on various predictive analysis techniques such as data mining, machine learning, information retrieval, optimisation, etc. for bug resolving. This chapter provides a detailed analysis of bug handling in large service sector software. The main emphasis of this chapter is to discuss research involved in applying predictive analysis for bug handling. The chapter also presents some possible future research directions in bug resolving using mathematical optimisation techniques.
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Background

This section provides the basic information related to software development and bug handling. First the different phases of software development life cycle are described followed by basic terminology, structure and life cycle of bug. Further different special categories of bug reports are presented. These special bugs are usually software context specific and may or may not appear in each software product.

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