Abstract is missing.
- What can changes tell about software processes?Barbara Russo, Maximilian Steff. 1-7 [doi]
- A new metric for predicting software change using gene expression programmingRuchika Malhotra, Megha Khanna. 8-14 [doi]
- Using fine-grained code change metrics to simulate software evolutionZhongpeng Lin, Jim Whitehead. 15-18 [doi]
- Structural evolution of software: a social network perspectiveNaveen N. Kulkarni, Satya Prateek Bommaraju, Madhuri Dasa. 19-22 [doi]
- Why are industrial agile teams using metrics and how do they use them?Eetu Kupiainen, Mika Mäntylä, Juha Itkonen. 23-29 [doi]
- A replicated study on correlating agile team velocity measured in function and story pointsHennie Huijgens, Rini van Solingen. 30-36 [doi]
- "May the fork be with you": novel metrics to analyze collaboration on GitHubMarco Biazzini, Benoit Baudry. 37-43 [doi]
- Towards a catalog format for software metricsEric Bouwers, Arie van Deursen, Joost Visser. 44-47 [doi]
- Design test process in component-based software engineering: an analysis of requirements scalabilityMariem Haoues, Asma Sellami, Hanêne Ben-Abdallah. 48-54 [doi]
- In-depth measurement and analysis on densification power law of software executionYu Qu, Qinghua Zheng, Ting Liu, Jian Li, Xiaohong Guan. 55-58 [doi]
- Clustering of defects in Java software systemsGiulio Concas, Cristina Monni, Matteo Orrù, Roberto Tonelli. 59-65 [doi]
- A security metric based on security argumentsBenjamin D. Rodes, John C. Knight, Kimberly S. Wasson. 66-72 [doi]