Analyzing impact of experience curve on ROI in the software product line adoption process

Tüzün, Eray; Tekinerdoğan, Bedir

doi:10.1016/j.infsof.2014.09.008

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…Furthermore, existing software engineering literature related to learning and performance does not make any distinction between individual learning within teams and group learning and more research is required to better understand the impact of the teamwork on performance [9], [14]- [16], [18], [19]. We intend to further investigate how team stability and cross-team cooperation stability relates to psychological safety of teams and thus to learning behaviors and team performance.…”

Section: Discussion Of the Resultsmentioning

confidence: 99%

“…Nevertheless, the topic of learning curves in software engineering is relatively recent, although the applicability of learning curves models to relate cumulative experience and performance in software development has been confirmed in a number of studies, as described in related literature reviews [14], [15].…”

Section: Learning Curves In Software Engineeringmentioning

confidence: 99%

“…Tüzün and Tekinerdogan [14] investigated the impact of the learning curve phenomenon on the return of investment (ROI) in the software product line engineering and concluded that the learning curve has a clear impact on the ROI of software development companies, although such an impact gets lower when the number of products of a particular software product line increases.…”

Section: Learning Curves In Software Engineeringmentioning

confidence: 99%

“…Thus, first we ordered the work items by their respective starting dates, to see whether the productivity of each team improved over time, as it is advocated by other studies on learning curves in software development teams [9], [14], [16]- [18].…”

Section: Teams Team Composition and Work Itemsmentioning

confidence: 99%

See 3 more Smart Citations

Experiences from Measuring Learning and Performance in Large-Scale Distributed Software Development

Britto

Šmite

Damm

2016

Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

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Background: Research on teams originated from the social sciences and brought a number of new topics into the repertoire of software engineering. Teams and teamwork are recognized for the promised benefits of i.e. increased performance. Performance is often linked to experience gains, and along with individual learning teamwork facilitates what is recognized as group learning. Aims: In this paper, we report our lessons learned from an attempt to study the relationship between group learning and performance in a large-scale software project. Method:We conducted an exploratory case study of an on-going large-scale distributed project in Ericsson. The data collected included archival data and both unstructured and semi-structured interviews. The data was analyzed using descriptive statistics, charts and regression analysis. Results:The results suggest that some teams improved their performance over time until they were forced to work cooperate with several other teams. However, it is not completely clear role of accumulated experience and other aspects, such as team stability and number of developers. Conclusions: We believe that ad-hoc team formation and team member rotation might have resulted in a failure to benefit from group learning. In addition, the fact that developers worked simultaneously on different tasks could have hindered their performance. However, we believe that further research must be conducted to provide a stronger evidence about the identified result. Based on the experience acquired by conducting this study, we report some lessons learned that can support researchers and practitioners when investigating the topic addressed in this paper.

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Section: Discussion Of the Resultsmentioning

confidence: 99%

Section: Learning Curves In Software Engineeringmentioning

confidence: 99%

Section: Learning Curves In Software Engineeringmentioning

confidence: 99%

Section: Teams Team Composition and Work Itemsmentioning

confidence: 99%

See 2 more Smart Citations

Experiences from Measuring Learning and Performance in Large-Scale Distributed Software Development

Britto

Šmite

Damm

2016

Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement

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Domain Engineering the Magnolia Way

Haveraaen

2018

Lecture Notes in Computer Science

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A family of software product lines in educational technologies

Chimalakonda

Nori

2020

Computing

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Rapid advances in education domain demand the design and customization of educational technologies for a large scale and variety of evolving requirements. Here, scale is the number of systems to be developed and variety stems from a diversified range of instructional designs such as varied goals, processes, content, teacher styles, learner styles and, also for eLearning Systems for 22 Indian Languages and variants.In this paper, we present a family of software product lines as an approach to address this challenge of modeling a family of instructional designs as well as a family of eLearning Systems and demonstrate it for the case of adult literacy in India (287 million learners). We present a multi-level product line that connects product lines at multiple levels of granularity in education domain. We then detail two concrete product lines (http://rice.iiit.ac.in), one that generates instructional design editors and two, which generates a family of eLearning Systems based on flexible instructional designs. Finally, we demonstrate our approach by generating eLearning Systems for Hindi and Telugu languages (both web and android versions), which led to significant cost savings of 29 person months for 9 eLearning Systems.

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Analyzing impact of experience curve on ROI in the software product line adoption process

Cited by 7 publications

References 25 publications

Experiences from Measuring Learning and Performance in Large-Scale Distributed Software Development

Experiences from Measuring Learning and Performance in Large-Scale Distributed Software Development

Domain Engineering the Magnolia Way

A family of software product lines in educational technologies

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