Requirements management for market driven software products - Key issues

Rubina Shaheen, Ali Ahsan, Zeeshan Anwar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

The Market-driven requirements engineering (RE) is different from traditional requirements engineering and poses a number of challenges. Due to rapidly changing technology; demands for improvements in market driven requirements management process has increased. This paper is an effort to carry out the analysis of the existing practices and challenges in the market-driven RE. We have studied various case studies of market driven products and analyzed the problems faced in handling continuously emerging requirements. This paper gives an insight into the key issues involved in requirements management of market driven products. These issues are identified after content analysis of existing literature and case studies. To further elaborate the most important issues, we performed Text Mining on literature collected by us and compared the results of test mining with content analysis. The most important issues that we identified are related to RE process and product.

Original languageEnglish
Title of host publication2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET 2018))
Subtitle of host publicationInvent, Innovate and Integrate for Socioeconomic Development
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538613702
DOIs
Publication statusPublished - 24 Apr 2018
Externally publishedYes
Event2018 International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2018 - Sukkur, Pakistan
Duration: 3 Mar 20184 Mar 2018

Conference

Conference2018 International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2018
CountryPakistan
CitySukkur
Period3/03/184/03/18

Keywords

  • Content Analysis
  • Market Driven
  • Requirement Engineering (RE)
  • Text Mining

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