scholarly journals Situational Software Engineering: Complex Adaptive Responses of Software Development Teams

Author(s):  
Barry Myburgh
2021 ◽  
Author(s):  
Lucas Alves ◽  
Vinícius Ricardo ◽  
Laerte Xavier

The creation of software development teams that are affected by performance issues is a problem frequently observed in companies in the software development market. This process is commonly done through subjective methodologies. Such methodologies can be influenced by interpersonal relationships and susceptible to human error. This paper proposes a quantitative and data-oriented alternative to the process of forming workgroups through the use of a genetic algorithm capable of optimizing collaborator’s abilities and preferences when executing a specific task within a project. As a result, we show that the use of such genetic algorithm is able to create teams similar to the teams assembled by the project managers of companies in the industry of software engineering. Therefore, the ability of genetic algorithm on supporting the process of develoment teams assembly becomes evident.


Author(s):  
B.DEENA DIVYA NAYOMI ◽  
FAROOQ MOHAMMED ◽  
V. SANDEEP ◽  
TAMKEEN FATIMA

The concept of awareness plays a pivotal role in research in Computer-Supported Cooperative Work. Recently, Software Engineering researchers interested in the collaborative nature of software development have explored the implications of this concept in the design of software development tools. A critical aspect of awareness is the associated coordinative work practices of displaying and monitoring actions. This aspect concerns how colleagues monitor one another’s actions to understand how these actions impact their own work and how they display their actions in such a way that others can easily monitor them while doing their own work. we focus on an additional aspect of awareness: the identification of the social actors who should be monitored and the actors to whom their actions should be displayed. We address this aspect by presenting software developers’ work practices based on ethnographic data from three different software development teams. In addition, we illustrate how these work practices are influenced by different factors, including the organizational setting, the age of the project, and the software architecture. We discuss how our results are relevant for both CSCW and Software Engineering researchers.


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