2016
DOI: 10.1016/j.jss.2016.03.029
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Quantitatively measuring a large-scale agile transformation

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Cited by 48 publications
(6 citation statements)
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“…In addition, prior findings include that agile methods can help to increase productivity in software development projects by reducing rework and defect rates (e.g. Alahyari et al 2017;Dikert et al 2016;Dybå and Dingsøyr 2008;Korpivaara et al 2021;Olszewska et al 2016;Reifer 2002;Serrator et al 2015).…”
Section: Discussionmentioning
confidence: 99%
“…In addition, prior findings include that agile methods can help to increase productivity in software development projects by reducing rework and defect rates (e.g. Alahyari et al 2017;Dikert et al 2016;Dybå and Dingsøyr 2008;Korpivaara et al 2021;Olszewska et al 2016;Reifer 2002;Serrator et al 2015).…”
Section: Discussionmentioning
confidence: 99%
“…Kupiainen et al [10] reported the most often occurring metrics, and Korpivaara et al [11] investigated how scaled agile development organizations measure performance (c.f., Q10, RQ3). Olszewska et al [12] examined in an industrial company case, how the changes in the development process introduced by the agile transformation can be measured (c.f., Q7, RQ3).…”
Section: B Related Workmentioning
confidence: 99%
“…(i) diagnosis of the current situation; and, (ii) improvement. Regarding the diagnosis, considering the bibliographic portfolio, the scientific articles that diagnosed the current situation through qualitative instruments were: Olszewska et al (2016), Choras et al (2020, Fontana et al (2015), Gren et al (2015), Jalali et al (2014, Tarhan andYilmaz (2014), Srivastava et al (2020), Lee and Xia (2010), Patel and Ramachandran (2009), Chow and Cao (2008), Ozcan-Top and Demirors (2019) and McCaffery et al (2007). Alahyari et al…”
Section: Analysis Lens 4: Measurement Formmentioning
confidence: 99%