Blogs (1) >>
ICSE 2019
Sat 25 - Fri 31 May 2019 Montreal, QC, Canada
Thu 30 May 2019 12:10 - 12:20 at Place du Canada - Software Analytics Chair(s): Christian Bird

The pervasive adoption of Continuous Integration practices – both in industry and open source projects – has led software building to become a daily activity for thousands of developers around the world. Companies such as Microsoft have invested in in-house infrastructures with the goal of optimizing the build process. CloudBuild, a distributed and caching build service developed internally by Microsoft, runs the build process in parallel in the cloud and relies on caching to allow fast and reliable builds of large software products. This allows for agile development and rapid delivery of software even several times a day. However, moving towards faster builds requires not only improvements on the infrastructure side, but also attention to developers’ changes in the software. Surely, architectural decisions and software changes, such as addition of dependencies, can lead to significant build time increase. Yet, estimating the impact of such changes on build time can be challenging when dealing with complex, distributed, and cached build systems. In this paper we envision a predictive model able to preemptively alert developers on the extent to which their software changes may impact future building activities. In particular, we describe an approach that analyzes the developer’s change and predicts (i) whether it impacts (any of) the Longest Critical Path; (ii) may lead to build time increase and its delta (iii) the percentage of future builds that might be affected by such change.

Thu 30 May

Displayed 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 DiscussionsArtifacts AvailableTechnical Track
Technical Track
Deeksha M. Arya McGill University, Cheryl Wang McGill University, Jin L.C. Guo McGill University, Jinghui Cheng Polytechnique Montreal
DOI Pre-print
Automating Intention MiningJournal-First
Journal-First Papers
Qiao Huang , Xin Xia Monash University, David Lo Singapore Management University, Gail Murphy University of British Columbia
Leveraging Historical Associations between Requirements and Source Code to Identify Impacted ClassesJournal-First
Journal-First Papers
Davide Falessi California Polytechnic State University, Justin Roll Cal Poly, USA, Jin L.C. Guo McGill University, Jane Cleland-Huang University of Notre Dame
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, Microsoft
Discussion Period