Semi-Automatic, Inline and Collaborative Web Page Code Curations
Software developers spend about a quarter of their workday using the web to fulfill various information needs. Searching for relevant information online can be time-consuming, yet acquired information is rarely systematically persisted for later reference. In this work, we introduce SALI, an approach for semi-automated linking web pages to source code locations inline with the source code. SALI helps developers naturally capture high-quality, explicit links between web pages and specific source code locations by suggesting links for curation within the IDE. Through two laboratory studies, we examined the developer’s ability to both curate and consume links between web pages and specific source code locations while performing software development tasks. The studies were performed with 20 subjects working on realistic software change tasks from widely-used open-source projects. Results showed that developers continuously and concisely curate web pages at meaningful locations in the code with little effort. Additionally, we showed that other developers could use these curations while performing new and different change tasks to speed up relevant information gathering within unfamiliar codebases by a factor of 2.4.
Fri 19 MayDisplayed time zone: Hobart change
11:00 - 12:30 | Developers' forumsSEIP - Software Engineering in Practice / Journal-First Papers / Technical Track / DEMO - Demonstrations at Meeting Room 102 Chair(s): Omar Haggag Monash University, Australia | ||
11:00 15mTalk | Automatic prediction of rejected edits in Stack Overflow Journal-First Papers Saikat Mondal University of Saskatchewan, Gias Uddin University of Calgary, Canada, Chanchal K. Roy University of Saskatchewan Link to publication DOI Pre-print | ||
11:15 15mTalk | Automated Summarization of Stack Overflow Posts Technical Track Bonan Kou Purdue University, Muhao Chen University of Southern California, Tianyi Zhang Purdue University | ||
11:30 15mTalk | Semi-Automatic, Inline and Collaborative Web Page Code Curations Technical Track Roy Rutishauser University of Zurich, André N. Meyer University of Zurich, Reid Holmes University of British Columbia, Thomas Fritz University of Zurich | ||
11:45 15mTalk | You Don’t Know Search: Helping Users Find Code by Automatically Evaluating Alternative Queries SEIP - Software Engineering in Practice Rijnard van Tonder Sourcegraph | ||
12:00 7mTalk | TECHSUMBOT: A Stack Overflow Answer Summarization Tool for Technical Query DEMO - Demonstrations Chengran Yang Singapore Management University, Bowen Xu Singapore Management University, Jiakun Liu Singapore Management University, David Lo Singapore Management University | ||
12:07 8mTalk | An empirical study of question discussions on Stack Overflow Journal-First Papers Wenhan Zhu University of Waterloo, Haoxiang Zhang Centre for Software Excellence at Huawei Canada, Ahmed E. Hassan Queen’s University, Michael W. Godfrey University of Waterloo, Canada | ||
12:15 15mTalk | Faster or Slower? Performance Mystery of Python Idioms Unveiled with Empirical Evidence Technical Track zejun zhang Australian National University, Zhenchang Xing , Xin Xia Huawei, Xiwei (Sherry) Xu CSIRO’s Data61, Liming Zhu CSIRO’s Data61, Qinghua Lu CSIRO’s Data61 | ||