Providing robust decision support for software engineering (SE) requires the collection of data across multiple contexts so that one can begin to elicit the context variables that...
Daniela Cruzes, Victor R. Basili, Forrest Shull, M...
With today's ever increasing demands on software, developers must produce software that can be changed without the risk of degrading the software architecture. Degraded softw...
There are various models in software engineering that are used to predict quality-related aspects of the process or artefacts. The use of these models involves elaborate data coll...
This paper explores the cognitive limits of estimation in the context of software cost estimation. Two heuristics, representativeness and anchoring, motivate two experiments invol...
Information retrieval is an important problem in any evidence-based discipline. Although Evidencebased Software Engineering (EBSE) is not immune to this fact, this question has no...
This short paper reports a pilot experiment conducted with master students, in which we investigated whether Fit test cases were helpful to clarify change requirements in a mainte...
Marco Torchiano, Filippo Ricca, Massimiliano Di Pe...
Several studies have been conducted to determine if company-specific cost models deliver better prediction accuracy than cross-company cost models. However, mixed results have lef...
In 2005, we studied the development effort and effect of quality comparisons between software development with Fagan's inspection and pair development. Three experiments were...