Table of Contents

• Mining the mind, minding the mine: grand challenges in comprehension and miningAndrew J. Ko. 1 [doi]
• Sensing and supporting software developers' focusManuela Züger, Thomas Fritz. 2-6 [doi]
• Overcoming language dichotomies: toward effective program comprehension for mobile app developmentKevin Moran, Carlos Bernal-Cárdenas, Mario Linares Vásquez, Denys Poshyvanyk. 7-18 [doi]
• Adventures in NICAD: a ten-year retrospectiveChanchal K. Roy, James R. Cordy. 19 [doi]
• Meaningful variable names for decompiled code: a machine translation approachAlan Jaffe, Jeremy Lacomis, Edward J. Schwartz, Claire Le Goues, Bogdan Vasilescu. 20-30 [doi]
• Descriptive compound identifier names improve source code comprehensionAndrea Schankin, Annika Berger, Daniel V. Holt, Johannes C. Hofmeister, Till Riedel, Michael Beigl. 31-40 [doi]
• Un-break my build: assisting developers with build repair hintsCarmine Vassallo, Sebastian Proksch, Timothy Zemp, Harald C. Gall. 41-51 [doi]
• Aiding comprehension of unit test cases and test suites with stereotype-based taggingBoyang Li, Christopher Vendome, Mario Linares Vásquez, Denys Poshyvanyk. 52-63 [doi]
• JIT feedback: what experienced developers like about static analysisYuriy Tymchuk, Mohammad Ghafari, Oscar Nierstrasz. 64-73 [doi]
• How do design decisions affect the distribution of software metrics?Marcos Dósea, Cláudio Sant'Anna, Bruno Carreiro da Silva. 74-85 [doi]
• Hierarchical abstraction of execution traces for program comprehensionYang Feng, Kaj Dreef, James A. Jones, Arie van Deursen. 86-96 [doi]
• Component interface identification and behavioral model discovery from software execution dataCong Liu, Boudewijn F. van Dongen, Nour Assy, Wil M. P. van der Aalst. 97-107 [doi]
• Recognizing software bug-specific named entity in software bug repositoryCheng Zhou, Bin Li, Xiaobing Sun, Hongjing Guo. 108-119 [doi]
• Recommending frequently encountered bugsYun Zhang, David Lo 0001, Xin Xia 0001, Jing Jiang, Jianling Sun. 120-131 [doi]
• Cross version defect prediction with representative data via sparse subset selectionZhou Xu, Shuai Li, Yutian Tang, Xiapu Luo, Tao Zhang 0001, Jin Liu, Jun Xu. 132-143 [doi]
• Unsupervised deep bug report summarizationXiaochen Li, He Jiang, Dong Liu, Zhilei Ren, Ge Li. 144-155 [doi]
• Analysis of test log information through interactive visualizationsDiego Castro, Marcelo Schots. 156-166 [doi]
• A search-based approach for accurate identification of log message formatsSalma Messaoudi, Annibale Panichella, Domenico Bianculli, Lionel C. Briand, Raimondas Sasnauskas. 167-177 [doi]
• Logtracker: learning log revision behaviors proactively from software evolution historyShanshan Li, Xu Niu, Zhouyang Jia, Ji Wang, Haochen He, Teng Wang. 178-188 [doi]
• Identifying software components from object-oriented APIs based on dynamic analysisAnas Shatnawi, Hudhaifa Shatnawi, Mohamed Aymen Saied, Zakarea Alshara, Houari A. Sahraoui, Abdelhak Seriai. 189-199 [doi]
• Deep code comment generationXing Hu, Ge Li, Xin Xia 0001, David Lo 0001, Zhi Jin. 200-210 [doi]
• Automatically classifying posts into question categories on stack overflowStefanie Beyer, Christian Macho, Martin Pinzger 0001, Massimiliano Di Penta. 211-221 [doi]
• Automatic tag recommendation for software development video tutorialsEsteban Parra, Javier Escobar-Avila, Sonia Haiduc. 222-232 [doi]
• Classification of APIs by hierarchical clusteringJohannes Härtel, Hakan Aksu, Ralf Lämmel. 233-243 [doi]
• LESdroid: a tool for detecting exported service leaks of Android applicationsJun Ma, Shaocong Liu, Yanyan Jiang 0001, XianPing Tao, Chang Xu 0001, Jian Lu 0001. 244-254 [doi]
• Do developers update third-party libraries in mobile apps?Pasquale Salza, Fabio Palomba, Dario Di Nucci, Cosmo D'Uva, Andrea De Lucia, Filomena Ferrucci. 255-265 [doi]
• What's inside my app?: understanding feature redundancy in mobile appsYao Guo 0001, Yuanchun Li, Ziyue Yang, Xiangqun Chen. 266-276 [doi]
• Impacts of coding practices on readabilityRodrigo Magalhães dos Santos, Marco Aurélio Gerosa. 277-285 [doi]
• The effect of poor source code lexicon and readability on developers' cognitive loadSarah Fakhoury, Yuzhan Ma, Venera Arnaoudova, Olusola O. Adesope. 286-296 [doi]
• Assessing an architecture's ability to support feature evolutionRan Mo, Yuanfang Cai, Rick Kazman, Qiong Feng. 297-307 [doi]
• Code phonology: an exploration into the vocalization of codeFelienne Hermans, Alaaeddin Swidan, Efthimia Aivaloglou. 308-311 [doi]
• Towards just-in-time refactoring recommendersJevgenija Pantiuchina, Gabriele Bavota, Michele Tufano, Denys Poshyvanyk. 312-315 [doi]
• Toward refactoring evaluation with code naturalnessRyo Arima, Yoshiki Higo, Shinji Kusumoto. 316-319 [doi]
• Replicomment: identifying clones in code commentsArianna Blasi, Alessandra Gorla. 320-323 [doi]
• A preliminary study on using code smells to improve bug localizationAoi Takahashi, Natthawute Sae-Lim, Shinpei Hayashi, Motoshi Saeki. 324-327 [doi]
• What design topics do developers discuss?Giovanni Viviani, Calahan Janik-Jones, Michalis Famelis, Xin Xia 0001, Gail C. Murphy. 328-331 [doi]
• Toward introducing automated program repair techniques to industrial software developmentKeigo Naitou, Akito Tanikado, Shinsuke Matsumoto, Yoshiki Higo, Shinji Kusumoto, Hiroyuki Kirinuki, Toshiyuki Kurabayashi, Haruto Tanno. 332-335 [doi]
• Learning lexical features of programming languages from imagery using convolutional neural networksJordan Ott, Abigail Atchison, Paul Harnack, Natalie Best, Haley Anderson, Cristiano Firmani, Erik Linstead. 336-339 [doi]
• On the naturalness of auto-generated code: can we identify auto-generated code automatically?Masayuki Doi, Yoshiki Higo, Ryo Arima, Kento Shimonaka, Shinji Kusumoto. 340-343 [doi]
• Augmenting source code lines with sample variable valuesMatús Sulír, Jaroslav Porubän. 344-347 [doi]
• An empirical investigation on the readability of manual and generated test casesGiovanni Grano, Simone Scalabrino, Harald C. Gall, Rocco Oliveto. 348-351 [doi]
• How slim will my system be?: estimating refactored code size by merging clonesNorihiro Yoshida, Takuya Ishizu, Bufurod Edwards, Katsuro Inoue. 352-360 [doi]
• Codecompass: an open software comprehension framework for industrial usageZoltán Porkoláb, Tibor Brunner, Dániel Krupp, Márton Csordás. 361-369 [doi]
• Leveraging the agile development process for selecting invoking/excluding tests to support feature locationGregory S. DeLozier, Michael John Decker, Christian D. Newman, Jonathan I. Maletic. 370-379 [doi]
• SDexplorer: a generic toolkit for smoothly exploring massive-scale sequence diagramKaixie Lyu, Kunihiro Noda, Takashi Kobayashi. 380-384 [doi]
• CoBOT: static C/C++ bug detection in the presence of incomplete codeQing Gao, Sen Ma, Sihao Shao, Yulei Sui, Guoliang Zhao, Luyao Ma, Xiao Ma, Fuyao Duan, Xiao Deng, Shikun Zhang, Xianglong Chen. 385-388 [doi]
• MetropolJS: visualizing and debugging large-scale javascript program structure with treemapsJoshua D. Scarsbrook, Ryan K. L. Ko, Bill Rogers, David Bainbridge 0001. 389-392 [doi]
• The codecompass comprehension frameworkZoltán Porkoláb, Tibor Brunner. 393-396 [doi]