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A study of value in agile software development organizations

Hiva Alahyari (Institutionen för data- och informationsteknik, Software Engineering (Chalmers)) ; Richard Berntsson Svensson ; Tony Gorschek (Institutionen för data- och informationsteknik, Software Engineering (Chalmers))
Journal of Systems and Software (0164-1212). Vol. 125 (2017), p. 271-288.
[Artikel, refereegranskad vetenskaplig]

The Agile manifesto focuses on the delivery of valuable software. In Lean, the principles emphasise value, where every activity that does not add value is seen as waste. Despite the strong focus on value, and that the primary critical success factor for software intensive product development lies in the value domain, no empirical study has investigated specifically what value is. This paper presents an empirical study that investigates how value is interpreted and prioritised, and how value is assured and measured. Data was collected through semi-structured interviews with 23 participants from 14 agile software development organisations. The contribution of this study is fourfold. First, it examines how value is perceived amongst agile software development organisations. Second, it compares the perceptions and priorities of the perceived values by domains and roles. Third, it includes an examination of what practices are used to achieve value in industry, and what hinders the achievement of value. Fourth, it characterises what measurements are used to assure, and evaluate value-creation activities. (C) 2016 Elsevier Inc. All rights reserved.

Nyckelord: Value, Agile software development, Empirical, requirements, quality, model, decisions, driven, Computer Science, ACTICE, PT IV3rd International Conference on Design, User Experience, and Usability (DUXU), JUN 22-, OCEEDINGS19th Conference on Software Engineering Education and Training, APR 19-21, 2006, Turtle, actice, v23, p549



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CPL Pubid: 249090

 

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Institutioner (Chalmers)

Institutionen för data- och informationsteknik, Software Engineering (Chalmers)
Institutionen för data- och informationsteknik (GU) (GU)

Ämnesområden

Informations- och kommunikationsteknik
Data- och informationsvetenskap
Datavetenskap (datalogi)

Chalmers infrastruktur