Crowdsourced knowledge catalyzes software development (Extended abstract)

No abstract

Who’s who on Gnome mailing lists : identity merging on a large data set

No abstract

Who’s who on Gnome mailing lists : identity merging on a large data set

No abstract

Comparative study of software metrics' aggregation techniques

While software metrics are commonly used to assess software maintainability and study software evolution, they are usually defined on a micro-level (method, class, package). Metrics should therefore be aggregated in order to provide insights in the evolution at the macro-level (system). In addition to traditional aggregation techniques such as the mean, recently econometric aggregation techniques such as the Gini index and the Theil index have been proposed. Advantages and disadvantages of different aggregation techniques have not been evaluated empirically so far. In this paper we present the preliminary results of the comparative study of different aggregation techniques

Similar tasks, different effort : Why the same amount of functionality requires different development effort?

Since the appearance of Albrechts pioneering work, function points have attracted signi¿cant attention from the industry. In their work, project managers can benchmark function point counts obtained for their projects against large publicly available datasets such as the ISBSG development & enhancement repository release 11, containing function point counts for more than 5000 projects. Unfortunately, larger amount of functionality as re¿ected in the function points count does not necessarily correspond to a more signi¿cant development effort. In this paper we focus on a collection of ISBSG projects with a similar amount of functionality and study the impact of different project attributes on the development effort

By no means : a study on aggregating software metrics

Fault prediction models usually employ software metrics which were previously shown to be a strong predictor for defects, e.g., SLOC. However, metrics are usually defined on a microlevel (method, class, package), and should therefore be aggregated in order to provide insights in the evolution at the macro-level (system). In addition to traditional aggregation techniques such as the mean, median, or sum, recently econometric aggregation techniques, such as the Gini, Theil, and Hoover indices have been proposed. In this paper we wish to understand whether the aggregation technique influences the presence and strength of the relation between SLOC and defects. Our results indicate that correlation is not strong, and is influenced by the aggregation technique