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MSR 2013 Preview

  1. 1. FANTASTIC KEYNOTES Gail C. Murphy: “What is Software Development Productivity, Anyway?” This talk will focus on the way software productivity has been characterized in software engineering and how mining can support such a characterization. Gail C. Murphy is a Professor of Computer Science at the University of British Columbia. She is also a Co-founder and Chief Science Officer at Tasktop Technologies Inc. Her research interests are in improving the productivity of software developers and knowledge workers by giving them tools to identify, manage and coordinate the information that really matters for their work. Brian Doll: “Striking Gold: Building Software Better, Together” This talk will tell us how, by exploring GitHub, one can answer questions about the success of software projects and of software development teams. Bring your pan and pick. We're going to get our hands dirty. Brian Doll is a technology & business hacker who has been building things on the web for 17 years. Brian works at GitHub, helping millions of people build a better world with code.
  2. 2. CUTTING-EDGE RESEARCH Out of over 100 submissions the Program Committee selected the best new research results to uncover insight from software repositories. Find out about the latest trends in analytics and data science for software development.
  3. 3. MSR TECHNICAL TRACK Ten technical sessions with 36 presentations on the latest trends in mining, such as mobile apps, unstructured data, classification and prediction of changes/bugs, code review, social mining, search-driven development and software evolution. Bug Triaging MSR Goes Mobile Why So Complicated? Simple Term Filtering and Asking for (and about) Permissions Weighting for Location-Based Bug Report Used by Android Apps Assignment Recommendation Ryan Stevens, Jonathan Ganz, Premkumar Devanbu, Ramin Shokripour, John Anvik, Zarinah Mohd Kasirun, Hao Chen, and Vladimir Filkov and Sima Zamani Retrieving and Analyzing Mobile Apps Feature Which Work-Item Updates Need Your Response? Requests from Online Reviews Debdoot Mukherjee and Malika Garg Claudia Iacob and Rachel Harrison Bug Report Assignee Recommendation using Activity Profile Hoda Naguib, Nitesh Narayan, Bernd Brügge, and Dina Helal
  4. 4. MSR TECHNICAL TRACK Ten technical sessions with 36 presentations on the latest trends in mining, such as mobile apps, unstructured data, classification and prediction of changes/bugs, code review, social mining, search-driven development and software evolution. Changes and Fixes Software Evolution Understanding the Evolution of Type-3 Clones Will My Patch Make It? And How Fast? Ripon K. Saha, Chanchal K. Roy, Kevin A. Schneider, and Case Study on the Linux Kernel Dewayne E. Perry Yujuan Jiang, Bram Adams, and Daniel M. German An Empirical Study of the Fault-Proneness of Clone Linux Variability Anomalies: Mutation and Clone Migration What Causes Them and How Do They Get Fixed? Shuai Xie, Foutse Khomh, and Ying Zou Sarah Nadi, Christian Dietrich, Reinhard Tartler, Intensive Metrics for the Study of the Evolution of Open Richard C. Holt, and Daniel Lohmann Source Projects: Case Studies from Apache Software Foundation Projects The Impact of Tangled Code Changes Santiago Gala, Gregorio Robles, Jesús González-Barahona, Kim Herzig and Andreas Zeller and Israel Herraiz A Preliminary Investigation of Using Age and Distance Measures in the Detection of Evolutionary Couplings Abdulkareem Alali, Brian Bartman, Christian Newman, and Jonathan Maletic
  5. 5. MSR TECHNICAL TRACK Ten technical sessions with 36 presentations on the latest trends in mining, such as mobile apps, unstructured data, classification and prediction of changes/bugs, code review, social mining, search-driven development and software evolution. Analysis of Bug Reports Software Ecosystems, Big Data Search-Based Duplicate Defect Detection: Mining Source Code Repositories at Massive Scale An Industrial Experience using Language Modeling Mehdi Amoui, Nilam Kaushik, Abraham Al-Dabbagh, Miltiadis Allamanis and Charles Sutton Ladan Tahvildari, Shimin Li, and Weining Liu Do Software Categories Impact Coupling Metrics? A Contextual Approach towards More Accurate Lucas Batista Leite De Souza and Duplicate Bug Report Detection Marcelo De Almeida Maia Anahita Alipour, Abram Hindle, and Eleni Stroulia Bug Resolution Catalysts: Identifying Essential Non-committers from Bug Repositories Senthil Mani, Seema Nagar, Debdoot Mukherjee, Ramasuri Narayanam, Vibha Singhal Sinha, and Amit A. Nanavati
  6. 6. MSR TECHNICAL TRACK Ten technical sessions with 36 presentations on the latest trends in mining, such as mobile apps, unstructured data, classification and prediction of changes/bugs, code review, social mining, search-driven development and software evolution. Classification and Localization of Social Mining Bugs and Changes Fixing the 'Out of Sight Out of Mind' Problem: One Year of Mood Based Microblogging in a Distributed Software Team Discovering, Reporting, and Fixing Performance Bugs Kevin Dullemond, Ben Van Gameren, Adrian Nistor, Tian Jiang, and Lin Tan Arie van Deursen, and Margaret-Anne Storey Improving Bug Localization using Correlations in Crash Communication in Open Source Software Development Reports Mailing Lists Shaohua Wang, Foutse Khomh, and Ying Zou Anja Guzzi, Alberto Bacchelli, Michele Lanza, Martin Pinzger, and Arie van Deursen Testing Principles, Current Practices, and Effects of Change Localization Tag Recommendation In Software Information Sites Steven Raemaekers, Gabriela Nane, Arie van Deursen, Xin Xia, David Lo, Xinyu Wang, and Bo Zhou and Joost Visser Using Developer Interaction Data to Compare Expertise Metrics Romain Robbes and David Röthlisberger
  7. 7. MSR TECHNICAL TRACK Ten technical sessions with 36 presentations on the latest trends in mining, such as mobile apps, unstructured data, classification and prediction of changes/bugs, code review, social mining, search-driven development and software evolution. Search-Driven Development 10 Years of MSR Assisting Code Search with Automatic Query The MSR Cookbook: Mining a Decade of Research Reformulation for Bug Localization Hadi Hemmati, Sarah Nadi, Olga Baysal, Bunyamin Sisman and Avinash C. Kak Oleksii Kononenko, Wei Wang, Reid Holmes, and Michael W. Godfrey Mining Succinct and High-Coverage API Usage Patterns from Source Code Happy Birthday! A Trend Analysis on Past MSR Papers Jue Wang, Yingnong Dang, Hongyu Zhang, Kai Chen, Kevin Wyckmans, Alessandro Murgia, Ahmed Lamkanfi, Tao Xie, and Dongmei Zhang and Serge Demeyer Rendezvous: A Search Engine for Binary Code Replicating Mining Studies with SOFAS Wei Ming Khoo, Alan Mycroft, and Ross Anderson Giacomo Ghezzi and Harald C. Gall
  8. 8. MSR TECHNICAL TRACK Ten technical sessions with 36 presentations on the latest trends in mining, such as mobile apps, unstructured data, classification and prediction of changes/bugs, code review, social mining, search-driven development and software evolution. Mining Unstructured Data Predictor Models Automatically Mining Software-Based, Semantically- Better Cross Company Defect Prediction Similar Words from Comment-Code Mappings Fayola Peters, Tim Menzies, and Andrian Marcus Matthew J. Howard, Lori Pollock, K. Vijay-Shanker, and Samir Gupta Using Citation Influence to Predict Software Defects Wei Hu and Kenny Wong Strategies for Avoiding Text Fixture Smells during Software Evolution Revisiting Software Development Effort Estimation Michaela Greiler, Andy Zaidman, Arie van Deursen, Based on Early Phase Development Activities and Margaret-Anne Storey Masateru Tsunoda, Koji Toda, Kyohei Fushida, Yasutaka Kamei, Meiyappan Nagappan, and Contextual Analysis of Program Logs for Understanding Naoyasu Ubayashi System Behaviors Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, and Tao Xie
  9. 9. MSR DATA SHOWCASE Out of 27 submissions the Data Committee selected 15 carefully curated datasets ready at your fingertips. You name it, we have it! Android, Apache, Eclipse, Gnome, Maven, Mozilla, and Ruby. Change histories, bug reports, code reviews, and more. Gerrit Software Code Review Data from Android A Network of Rails: A Graph Dataset of Ruby on Rails Murtuza Mukadam, Christian Bird, and Peter C. Rigby and Associated Projects Patrick Wagstrom, Corey Jergensen, and Anita Sarma Who does what during a Code Review? Datasets of OSS Peer Review Repositories The GHTorent Dataset and Tool Suite Kazuki Hamasaki, Raula Gaikovina Kula, Norihiro Yoshida, Ana Erika Georgios Gousios Camargo Cruz, Kenji Fujiwara, and Hajimu Iida Project Roles in the Apache Software Foundation: A Dataset A Dataset from Change History to Support Evaluation of Megan Squire Software Maintenance Tasks Apache-Affiliated Twitter Screen Names: A Dataset Bogdan Dit, Andrew Holtzhauer, Denys Poshyvanyk, and Huzefa Kagdi Megan Squire Apache Commits: Social Network Dataset An Unabridged Source Code Dataset for Research in Software Reuse Alexander C. MacLean and Charles D. Knutson Werner Janjic, Oliver Hummel, Marcus Schumacher, and Colin Atkinson The Eclipse and Mozilla Defect Tracking Dataset: A Historical Dataset of Software Engineering Conferences A Genuine Dataset for Mining Bug Information Bogdan Vasilescu, Alexander Serebrenik, and Tom Mens Ahmed Lamkanfi, Javier Pérez, and Serge Demeyer A Dataset for Evaluating Identifier Splitters The Maven Repository Dataset of Metrics, Changes, and Dependencies David Binkley, Dawn Lawrie, Lori Pollock, Emily Hill, and Vijay Shanker Steven Raemaekers, Arie van Deursen, and Joost Visser INVocD: Identifier Name Vocabulary Dataset A Historical Dataset for the Gnome Ecosystem Simon Butler, Michel Wermelinger, Yijun Yu, and Helen Sharp Mathieu Goeminne, Maëlick Claes, and Tom Mens
  10. 10. MSR MINING CHALLENGE The task: Mine Stack Overflow data for the best insight. Out of 29 submissions the Challenge Committee selected the 12 best to compete at the conference. You choose who wins and gets a Microsoft Surface with Windows RT. Why, When, and What: Analyzing Stack Overflow Questions Exploring Activeness of Users in Q&A Forums by Topic, Type, and Code Vibha Singhal Sinha, Senthil Mani, and Monika Gupta Miltiadis Allamanis and Charles Sutton A Study of Innovation Diffusion through Link Sharing on Stack Overflow Detecting API Usage Obstacles: A Study of iOS and Carlos Gomez, Brendan Cleary, and Leif Singer Android Developer Questions Wei Wang and Michael W. Godfrey Deficient Documentation Detection: A Methodology to Locate Deficient Project Documentation using Topic Analysis Making Sense of Online Code Snippets Joshua Campbell, Chenlei Zhang, Zhen Xu, Abram Hindle, Siddharth Subramanian and Reid Holmes and James Miller Encouraging User Behaviour with Achievements: Building Reputation in StackOverflow: An Empirical Investigation An Empirical Study Amiangshu Bosu, Christopher S. Corley, Dustin Heaton, Debarshi Scott Grant and Buddy Betts Chatterji, Jeffrey C. Carver, and Nicholas A. Kraft Is Programming Knowledge Related to Age? An Exploratory Analysis of Mobile Development Issues An Exploration of Stack Overflow using Stack Overflow Patrick Morrison and Emerson Murphy-Hill Mario Linares-Vásquez, Bogdan Dit, and Denys Poshyvanyk Answering Questions about Unanswered Questions of Stack Overflow A Discriminative Model Approach for Suggesting Tags Automatically Muhammad Asaduzzaman, Ahmed Mashiyat, Chanchal K. Roy, and for Stack Overflow Questions Kevin A. Schneider Avigit K. Saha, Ripon K. Saha, and Kevin A. Schneider
  11. 11. REGISTER NOW! Early registration discounts until April 14.

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