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Forest Science for Sustainable Development of Forests
25 Years of Forestry of the Republic of Srpska

December 7 - 9, 2017.

Measuring the Quality and Progress of Software Projects with Project Metrics

Author(s):
1. Nela Cvetković, Fakultet tehničkih nauka Univerziteta u Novom Sadu, Serbia
2. Slobodan Moraca, Faculty of Technical Sciences, Department for Production Engineering, Serbia
3. Vijoleta Vrhovac, Fakultet tehničkih nauka Univerziteta u Novom Sadu, Serbia
4. Stevan Milisavljević, Fakultet tehničkih nauka Univerziteta u Novom Sadu, Serbia


Abstract:
Day by day software project quality gains more and more attention of practitioners and researches equally. Bug or defect free software that meets customers’ expectations regarding design, functionalities and similar requirements, project delivered on time and project delivered within budget are the key aspects of software project quality, both for users and development teams. In order to improve these constraints and project and, consequently, software product quality, project progress monitoring is essential. What enables progress monitoring are metrics. Metrics become even more essential when certain project measurements need to be closely monitored due to repeated changes of requirements which is frequent with software projects. This paper presents a case of metrics use in order to measure and improve software project quality and progress. The metrics used where chosen after excessive literature review and based on specific project characteristics and demands. First, data from 9 sprints was analyzed. Following, metrics were applied for the next 10 iterations, where data was gathered through interview, sprint retrospectives notes and supporting project management tools. Results show that with introduction of velocity, defects rate and sprint burndown chart into the alpha game development process, team productivity and effectiveness where elevated, resulting in software project quality improvement. Chosen metrics have facilitated transparency of work, enabling better organization and reduction of bottlenecks, detection of problem roots and more effective communication.

Key words:
Software development quality, Metrics, Progress monitoring

Date of abstract submission:
27.02.2017.

Conference:
13th International Conference on Accomplishments in Mechanical and Industrial Engineering

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