Emergence of developer teams in the collaboration network

Çağlayan, Bora; Bener, Ayşe; Miranskyy, Andriy

doi:10.1109/chase.2013.6614729

Cited by 13 publications

(15 citation statements)

References 25 publications

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“…Our work is different from the related research on software collaboration teams in three aspects: 1)We identify the distinct developertester cross-stakeholder communities in a large scale software without human intervention, 2) We track the evolution of the communities over time, 3) We define the characteristics of collaboration teams that make them more or less stable over time. We have previously tackled this problem by constructing the collaboration network using only developers [4]. This paper extends our previous work by extending the software collaboration network by including testers in addition to developers.…”

Section: Software Collaboration Teamsmentioning

confidence: 90%

“…In summary to the best of our knowledge, current literature on collaboration teams lack research on the emergence of work teams in software projects except our recent paper on the topic [4]. Our work is different from the related research on software collaboration teams in three aspects: 1)We identify the distinct developertester cross-stakeholder communities in a large scale software without human intervention, 2) We track the evolution of the communities over time, 3) We define the characteristics of collaboration teams that make them more or less stable over time.…”

Section: Software Collaboration Teamsmentioning

confidence: 97%

“…In our previous study using only developers' data, we could estimate the developers' knowledge of the code base from the commit counts [4]. We could not extract the experience dimension in this study since tester experience (number of issues originated) is not compatible with developer experience (number of software modules changed due to an issue).…”

Section: Description Of Factorsmentioning

confidence: 99%

“…We have previously investigated factors affecting the stability of teams of developers [4]. However, focus only on developers' data, to build the collaboration network, has certain limitations.…”

Section: Introductionmentioning

confidence: 99%

“…Many tools and processes have been proposed for issue management, organizational communication and version control to increase the efficiency of the collaboration activity over the years [1]. Various researchers have mined repositories (storing "logs" generated by these tools and processes) gaining insights about the collaboration within a software project [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

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Factors affecting team evolution during software projects

Çağlayan

Bener

Miranskyy

2014

Proceedings of the 7th International Workshop on Cooperative and Human Aspects of Software Engineering

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Forming teams from a large groups of developers and testers pose an important problem for software project management. There are only a few empirical studies on the topic of team evolution and the factors affecting it in software projects. In this paper, we analyzed the evolution of globally distributed testing and coding teams developing large enterprise software product. Our findings indicate that, during the software development process, testing and coding teams are naturally formed through the informal interaction of people. This informal structure is not necessarily a reflection of the formal organizational structure. Therefore, we recommend software development organizations to take into consideration this informal and, most of the time, effective natural team building structure and perhaps to consider collaborative (non-hierarchical) task assignment during SDLC.

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Section: Software Collaboration Teamsmentioning

confidence: 90%

Section: Software Collaboration Teamsmentioning

confidence: 97%

Section: Description Of Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Factors affecting team evolution during software projects

Çağlayan

Bener

Miranskyy

2014

Proceedings of the 7th International Workshop on Cooperative and Human Aspects of Software Engineering

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Investigation and prediction of open source software evolution using automated parameter mining for agent-based simulation

et al. 2021

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To guide software development, the estimation of the impact of decision making on the development process can be helpful in planning. For this estimation, often prediction models are used which can be learned from project data. In this paper, an approach for the usage of agent-based simulation for the prediction of software evolution trends is presented. The specialty of the proposed approach lies in the automated parameter estimation for the instantiation of project-specific simulation models. We want to assess how well a baseline model using average (commit) behavior of the agents (i.e., the developers) performs compared to models where different amount of project-specific data is fed into the simulation model. The approach involves the interplay between the mining framework and simulation framework. Parameters to be estimated include, e.g., file change probabilities of developers and the team constellation reflecting different developer roles. The structural evolution of software projects is observed using change coupling graphs based on common file changes. For the validation of simulation results, we compare empirical with simulated results. Our results showed that an average simulation model can mimic general project growth trends like the number of commits and files well and thus, can help project managers in, e.g., controlling the onboarding of developers. Besides, the simulated co-change evolution could be improved significantly using project-specific data.

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Cheap talk, cooperation, and trust in global software engineering

Wang

Redmiles

2015

Empir Software Eng

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Emergence of developer teams in the collaboration network

Cited by 13 publications

References 25 publications

Factors affecting team evolution during software projects

Factors affecting team evolution during software projects

Investigation and prediction of open source software evolution using automated parameter mining for agent-based simulation

Cheap talk, cooperation, and trust in global software engineering

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