Improvement of Agile Software Development Size & Effort Estimation Methods
Anmar Abdullah Mohammed1, Azizah Ahmad2, Mazni Omar3
1Anmar Abdullah Mohammed, School of Computing, University Utara Malaysia.
2Azizah Ahmad, Institute for Advanced and Smart Digital Opportunities, School of Computing, University Utara Malaysia.
3Mazni Omar, School of Computing, University Utara Malaysia.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript Published on 19 June 2019 | PP: 357-362 | Volume-8 Issue-8S June 2019 | Retrieval Number: H10610688S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper aims to lay down the existing evidence concerning agile software estimation, it summarizes the empirical evidence of the existing agile estimation methods, identify gaps in the current research in order to suggest areas of further investigation and improvement, and to provide a basis for the improvement of agile software estimation research through a systematic review of previous work. The contribution of this paper is twofold, first is providing a basis for the improvement of agile software estimation through a systematic literature review of previous work. Secondly, it presents a recommendation for further research based on the results presented in this paper and the recommendations by well-known researchers in the field of software engineering in general and in software estimation in particular.
Keywords: Previous Work, Secondly, Presents a Recommendation for Further Research Based.
Scope of the Article: Software Engineering & Its Applications