Enabling Real-Time Feedback in Software Engineering
Modern software projects consist of more than just code: teams follow development processes, the code runs on servers or mobile phones and produces run time logs and users talk about the software in forums like StackOverflow and Twitter and rate it on app stores. Insights stemming from the real-time analysis of combined software engineering data can help software practitioners to conduct faster decision-making. With the development of CodeFeedr, a Real-time Software Analytics Platform, we aim to make software analytics a core feedback loop for software engineering projects.
CodeFeedr’s vision entails: (1) The ability to unify archival and current software analytics data under a single query language, and (2) The feasibility to apply new techniques and methods for high-level aggregation and summarization of near real-time information on software development. In this paper, we outline three use cases where our platform is expected to have a significant impact on the quality and speed of decision making; dependency management, productivity analytics, and run-time error feedback.
Wed 30 MayDisplayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change
11:00 - 12:30 | Security, Safety, and QualityNIER - New Ideas and Emerging Results at E3 room Chair(s): Michael Whalen University of Minnesota | ||
11:00 15mTalk | Generative Secure Design, Defined NIER - New Ideas and Emerging Results | ||
11:15 15mTalk | Towards Secure Dynamic Product Lines in the Cloud NIER - New Ideas and Emerging Results Sebastian Krieter Magdeburg University, Jacob Krüger Harz University of Applied Sciences, Germany, Nico Weichbrodt , Vasily Sartakov , Rüdiger Kapitza Technical University of Braunschweig, Thomas Leich Harz University of Applied Sciences, Germany | ||
11:30 15mTalk | Towards Forensic-Ready Software Systems NIER - New Ideas and Emerging Results Liliana Pasquale University College Dublin & Lero, Ireland, Dalal Alrajeh Imperial College London, Claudia Peersman , Thein Tun , Bashar Nuseibeh The Open University (UK) & Lero (Ireland), Awais Rashid University of Bristol, UK | ||
11:45 15mTalk | Measure Confidence of Assurance Cases in Safety-Critical Domains NIER - New Ideas and Emerging Results | ||
12:00 15mTalk | A Critical Review of "A Practical Guide to Select Quality Indicators for Assessing Pareto-Based Search Algorithms in Search-Based Software Engineering": Essay on Quality Indicator Selection for SBSE NIER - New Ideas and Emerging Results | ||
12:15 15mTalk | Enabling Real-Time Feedback in Software Engineering NIER - New Ideas and Emerging Results Enrique Larios Vargas Software Improvement Group, Joseph Hejderup Delft University of Technology, Netherlands, Maria Kechagia Delft University of Technology, Magiel Bruntink , Georgios Gousios TU Delft DOI Pre-print | ||