JSW 2014 Vol.9(10): 2614-2621 ISSN: 1796-217X
doi: 10.4304/jsw.9.10.2614-2621
doi: 10.4304/jsw.9.10.2614-2621
Hybrid Adaptive Software Development Capability: An Empirical Study
Asif Qumer Gill
School of Software, University of Technology, Sydney, Australia
Abstract—Software intensive organisations require the integration of agility, people, process, product and tool elements for establishing a hybrid adaptive software development capability. This paper presents the results of the empirical study that has been conducted to identify the important underlying characteristics of the hybrid adaptive software development capability elements. Based on this investigation, the most critical and the least critical characteristics of the hybrid adaptive software development capability elements have been identified. The findings of this empirical study have several implications, and can be recasted into making practical recommendations for establishing a situation-specific hybrid adaptive software development capability.
Index Terms—e Methods, Empirical Software Engineering, Information Systems
Abstract—Software intensive organisations require the integration of agility, people, process, product and tool elements for establishing a hybrid adaptive software development capability. This paper presents the results of the empirical study that has been conducted to identify the important underlying characteristics of the hybrid adaptive software development capability elements. Based on this investigation, the most critical and the least critical characteristics of the hybrid adaptive software development capability elements have been identified. The findings of this empirical study have several implications, and can be recasted into making practical recommendations for establishing a situation-specific hybrid adaptive software development capability.
Index Terms—e Methods, Empirical Software Engineering, Information Systems
Cite: Asif Qumer Gill, "Hybrid Adaptive Software Development Capability: An Empirical Study," Journal of Software vol. 9, no. 10, pp. 2614-2621, 2014.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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