© 2015 IEEE. Before a community can learn general principles, it must share individual experiences. Data sharing is the fundamental step of cross project defect prediction, i.e. …
© 2015 IEEE. Maturity in software projects is often equated with data-driven predictability. However, data collection is expensive and measuring all variables that may correlate …
While automated methods are the first line of defense for detecting attacks on webservers, a human agent is required to understand the attacker's intent and the attack process. The …
Determining whether systems achieve desired emergent properties, such as safety or reliability, requires an analysis of the system as a whole, often in later development stages …
NASA anomaly databases are rich resources of software failure data in the field. These data are often captured in natural language that is not appropriate for trending or …
We know surprisingly little about how professional developers define debugging and the challenges they face in industrial environments. To begin exploring professional debugging …
Existing research is unclear on how to generate lessons learned for defect prediction and effort estimation. Should we seek lessons that are global to multiple projects or just …
Amazon's Mechanical Turk is a crowdsourcing technology that enables requesters to create tasks to be completed by human agents in exchange for compensation. Researchers in computer …
© 2013 Springer-Verlag Berlin Heidelberg. All rights are reserved. In this chapter, we discuss recent progress and opportunities in empirical software engineering by focusing on a …
In this fast abstract, we provide preliminary findings from an analysis of 14,500 spacecraft anomalies from unmanned NASA missions. We provide some baselines for the distributions …