(SEIP Talk) Take Control: (On the Unreasonable Effectiveness of Software Analytics)
The goal of software analytics should be insight; i.e. surprises that make us change the way we do business (in our case, the business of software construction, maintenance and evolution). So what insights have we learned from software analytics? Our field is rife with any number of truisms that are commonly quoted but rarely checked. That stops now. Using software analytics, we can check, and prune, many of those truisms. Specifically, the number of variables required to make predictions about SE projects is remarkably small— which means that most of the things we think might affect software quality have little impact in practice.
Full prof, ex-nurse,rocketman,taxi-driver,journalist (it all made sense at the time).
Thu 30 MayDisplayed time zone: Eastern Time (US & Canada) change
11:00 - 12:30
|(SEIP Talk) Take Control: (On the Unreasonable Effectiveness of Software Analytics)SEIPIndustry Program|
Software Engineering in Practice
Tim Menzies North Carolina State University
|Analysis and Detection of Information Types of Open Source Software Issue DiscussionsTechnical Track|
Deeksha Arya McGill University, Cheryl Wang McGill University, Jin L.C. Guo McGill University, Jinghui Cheng Polytechnique MontrealDOI Pre-print
|Automating Intention MiningJournal-First|
|Leveraging Historical Associations between Requirements and Source Code to Identify Impacted ClassesJournal-First|
|Towards Predicting the Impact of Software Changes on Building ActivitiesNIER|
New Ideas and Emerging Results
Michele Tufano College of William and Mary, Hitesh Sajnani Microsoft , Kim Herzig Tools for Software Engineers, MicrosoftPre-print