scholarly journals Effort estimation in large-scale software development: An industrial case study

2018 ◽  
Vol 99 ◽  
pp. 21-40 ◽  
Author(s):  
Muhammad Usman ◽  
Ricardo Britto ◽  
Lars-Ola Damm ◽  
Jürgen Börstler
Author(s):  
Muhammad Usman ◽  
Michael Felderer ◽  
Michael Unterkalmsteiner ◽  
Eriks Klotins ◽  
Daniel Mendez ◽  
...  

Author(s):  
Javier García Guzmán ◽  
Javier Saldaña Ramos ◽  
Antonio Amescua Seco ◽  
Ana Sanz Esteban

The management of globally distributed software teams is complex because of problems of linguistic differences, geographical dispersion, different time zones, and the cultural diversity of the team members; what is particularly common in software development environments. These problems are amplified when a single software development team is composed of highly skilled individuals working in dispersed geographical locations, and they have to work as a team across distances. This paper describes several of the most important factors that contribute to the correct and effective management of global virtual teams for software development and underlying solutions are addressed to reduce cultural and time barriers. These factors are obtained from an industrial case study, which lasted 36 months, corresponding to a huge software development project that involved several global virtual teams. These success factors consider different perspectives as technology, human factors and process.


2018 ◽  
Vol 49 (6) ◽  
pp. 64-77 ◽  
Author(s):  
Torgeir Dingsøyr ◽  
Nils Brede Moe ◽  
Eva Amdahl Seim

Software development projects have undergone remarkable changes with the arrival of agile development approaches. Although intended for small, self-managing teams, these approaches are used today for large development programs. A major challenge of such programs is coordinating many teams. This case study describes the coordination of knowledge work in a large-scale agile development program with 12 teams. The findings highlight coordination modes based on feedback, the use of a number of mechanisms, and how coordination practices change over time. The findings can improve the outcomes of large knowledge-based development programs by tailoring coordination practices to needs over time.


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