Team Formation in Software Engineering: A Systematic Mapping Study

Costa, Alexandre; Ramos, Felipe; Perkusich, Mirko; Dantas, Emanuel; Dilorenzo, Ednaldo; Chagas, Ferdinandy; Meireles, André; Albuquerque, Danyllo; Silva, Luiz; Almeida, Hyggo; Perkusich, Angelo

doi:10.1109/access.2020.3015017

Cited by 24 publications

(18 citation statements)

References 68 publications

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“…Other studies consider personality [15] and social interactions [19]. Also, approaches in Search-Based Software Engineering (SBSE) have used optimization techniques to provide solutions such as Genetic Algorithms [11].…”

Section: Team Formation Approachesmentioning

confidence: 99%

See 1 more Smart Citation

A Data-driven Framework to Support Team Formation in Software Projects

Cunha¹,

Rique²,

Gorgônio³

et al. 2022

Anais Do II Workshop Brasileiro De Engenharia De Software Inteligente (ISE 2022)

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Context Software analytics approaches have supported managers in making informed decisions regarding several software engineering problems. Team formation is a challenging one, being investigated by the research community as new approaches and tools have been proposed. However, the existing studies do not appropriately address the aspects and procedures to be adopted in the development of tools to meet most scenarios, besides not providing a concrete solution useful from a practical perspective. Aims This study provides a framework to support the development of solutions that can help managers form software teams. Method We interviewed a key practitioner from a software organization and analyzed the collected data to understand how the team formation problem is currently handled, identifying underlying aspects and challenges faced by the organization. Results We presented an overview of the proposed framework and the results of a preliminary evaluation performed by integrating a prototype into an enterprise system. Conclusions Our results provide a concrete solution for the team formation problem that can be integrated not only into a project management tool, but also into software analytics tools.

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Section: Team Formation Approachesmentioning

confidence: 99%

“…The definitive Version of Record was published in Proceedings of ISE '22: 2nd Brazilian Workshop on Intelligent Software Engineering (ISE 2022), https: //doi.org/10.5753/ise.2022.227029. finding the most suitable configuration of a team to properly perform development activities and be compliant with the project's constraints [11].…”

Section: Introductionmentioning

confidence: 99%

A Data-driven Framework to Support Team Formation in Software Projects

Cunha¹,

Rique²,

Gorgônio³

et al. 2022

Anais Do II Workshop Brasileiro De Engenharia De Software Inteligente (ISE 2022)

View full text Add to dashboard Cite

show abstract

“…Many objectives are defined in proposed researches, for example, minimizing the development effort [79], minimizing defects [78,80], minimizing cost [1,4,8,13,14,16,18,19,25,33,36,76,[81][82][83][84][85], minimizing time [8,13,14,18,19,33,36,37,55,78,81,83,85], increasing quality [8,13,14,18,19,24,33,36,55,56,76], timelines of completion of tasks [57], increasing team members' productivity [42,43], improving work relationship and maximizing project's requirements [83], on-time completion, on- budget completion, functionality completion, and satisfying required quality…”

Section: Defining Objectivesmentioning

confidence: 99%

“…For a better understanding of task allocation, factors are identified in proposed researches [1, 2, 4, 6, 8, 9, 13, 15, 18-25, 28, 29, 32-34, 38, 40, 42-46, 51-55, 65-69, 71-74, 79, 80] and [82,83,85,87,[90][91][92][93][94][95].…”

Section: Defining Roles Of Software Development Teammentioning

confidence: 99%

A Critique on Task Allocation Processes in Distributed Agile Software Development

Ijaz

Aslam

Alsanad

et al. 2022

Scientific Programming

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Distributed agile software development is implemented to tackle the increasing competition and changing requirements of the software industry. It inspires the development of emergent software applications and supports user satisfaction with fast delivery to market at low cost. Distributed software development presents a complex distributed team structure of the software industry having various workplaces. Distributed agile software development requires effective and well-organized decisions during task allocation. Task allocation is a challenging activity across the spectrum of committed software developers in a distributed environment. Effective task allocation under the pressure of achieving project objectives is a complex management problem in distributed agile software development. Task allocation process is proposed to support effective task allocation in distributed agile software development. Firstly, we identify different aspects of the task allocation context to explore the basic requirements of decision-making in DASD. Based on the information related to the identified aspects, different types of process activities are defined; those should be fulfilled to support the task allocation decisions. Task allocation process during software project planning requires comprehensive information about various factors that influence decision-making. The proposed task allocation process is evaluated based on the process activities. None of the current state-of-the-art research works focus on an approach for task allocation that completely fulfills all activities related to high-level processes or low-level processes. We fill this gap by identifying, classifying, sequencing, and proposing these activities that can be used to realize a methodical approach for a generic task allocation process in a distributed agile software development setup.

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“…A recent systematic mapping study on team formation in software engineering [7] pointed out that several studies address the MTF problem as a search problem, modeling the competences of the human resources and the projects' requirements, and solving it using several techniques such as Genetic Algorithms (GAs), Simulated Annealing, and Dynamic Programming, and others. The existing studies rely on several types of knowledge sources to model the competences of human resources such as curriculum, social validation, and historical data.…”

Section: Introductionmentioning

confidence: 99%

A Genetic Algorithm-Based Approach to Support Forming Multiple Scrum Project Teams

Costa

Ramos

Perkusich³

et al. 2022

IEEE Access

Self Cite

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Forming effective teams is an essential but challenging task, especially for organizations that carry out multiple projects simultaneously, a problem known as the Multiple Team Formation (MTF) problem. The literature presents several solutions for the MTF problem, mostly modeling it as a search problem. However, the existing solutions are not suitable for Scrum projects. We addressed this gap by developing an approach composed of two main steps. First, we designed a Structured Task Model to support creating developers' profiles given their performance on past Scrum projects. Then, given a set of target projects' technology requirements and the available developers' profiles, we developed a Genetic Algorithm to form the teams for a set of target projects. We evaluated the proposed approach by comparing the teams formed by our approach with the ones formed by project managers from one organization. Our approach achieved 85% of precision when compared with the teams provided by the project managers who worked on the same target projects. We also recorded an acceptance rate of up to 75%. The significant value of precision achieved suggests that our approach can provide teams close to the project managers' expectations. In addition, our Structured Task Model offers a promising way to build technical profiles semi-automatically for Scrum developers.

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Team Formation in Software Engineering: A Systematic Mapping Study

Cited by 24 publications

References 68 publications

A Data-driven Framework to Support Team Formation in Software Projects

A Data-driven Framework to Support Team Formation in Software Projects

A Critique on Task Allocation Processes in Distributed Agile Software Development

A Genetic Algorithm-Based Approach to Support Forming Multiple Scrum Project Teams

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