Understanding build issue resolution in practice: symptoms and fix patterns
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Lu Zhang | Dan Hao | Yiling Lou | Zhenpeng Chen | Yanbin Cao | Dan Hao | Lu Zhang | Yiling Lou | Zhenpeng Chen | Yanbin Cao
[1] Michael R. Lyu,et al. An Empirical Study of Common Challenges in Developing Deep Learning Applications , 2019, 2019 IEEE 30th International Symposium on Software Reliability Engineering (ISSRE).
[2] Philipp Leitner,et al. An Empirical Analysis of Build Failures in the Continuous Integration Workflows of Java-Based Open-Source Software , 2017, 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR).
[3] Taher Ahmed Ghaleb,et al. An empirical study of the long duration of continuous integration builds , 2019, Empirical Software Engineering.
[4] Graham Neubig,et al. Retrieval-Based Neural Code Generation , 2018, EMNLP.
[5] Luke S. Zettlemoyer,et al. Online Learning of Relaxed CCG Grammars for Parsing to Logical Form , 2007, EMNLP.
[6] Emad Shihab,et al. What are mobile developers asking about? A large scale study using stack overflow , 2016, Empirical Software Engineering.
[7] Mirella Lapata,et al. Language to Logical Form with Neural Attention , 2016, ACL.
[8] Harald C. Gall,et al. Un-break My Build: Assisting Developers with Build Repair Hints , 2018, 2018 IEEE/ACM 26th International Conference on Program Comprehension (ICPC).
[9] Foyzul Hassan,et al. Automatic Building of Java Projects in Software Repositories: A Study on Feasibility and Challenges , 2017, 2017 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM).
[10] Gabriele Bavota,et al. There and back again: Can you compile that snapshot? , 2017, J. Softw. Evol. Process..
[11] Robert W. Bowdidge,et al. Programmers' build errors: a case study (at google) , 2014, ICSE.
[12] Gabriele Bavota,et al. Software Documentation Issues Unveiled , 2019, 2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE).
[13] Hitesh Sapkota,et al. Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts , 2019, 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM).
[14] Lingming Zhang,et al. History-driven build failure fixing: how far are we? , 2019, ISSTA.
[15] Yann-Gaël Guéhéneuc,et al. A study of build inflation in 30 million CPAN builds on 13 Perl versions and 10 operating systems , 2019, Empirical Software Engineering.
[16] Shane McIntosh,et al. The evolution of Java build systems , 2012, Empirical Software Engineering.
[17] Xin Peng,et al. A large-scale empirical study of compiler errors in continuous integration , 2019, ESEC/SIGSOFT FSE.
[18] Tao Xie,et al. A comprehensive study on challenges in deploying deep learning based software , 2020, ESEC/SIGSOFT FSE.
[19] Foutse Khomh,et al. Why Do Automated Builds Break? An Empirical Study , 2014, 2014 IEEE International Conference on Software Maintenance and Evolution.
[20] Georgios Gousios,et al. Oops, My Tests Broke the Build: An Explorative Analysis of Travis CI with GitHub , 2017, 2017 IEEE/ACM 14th International Conference on Mining Software Repositories (MSR).
[21] Andy Zaidman,et al. A Tale of CI Build Failures: An Open Source and a Financial Organization Perspective , 2017, ICSME.
[22] Wenhao Yu,et al. Supplementary material , 2015 .
[23] Mehdi Bagherzadeh,et al. What do concurrency developers ask about?: a large-scale study using stack overflow , 2018, ESEM.
[24] Carolyn B. Seaman,et al. Qualitative Methods in Empirical Studies of Software Engineering , 1999, IEEE Trans. Software Eng..
[25] Shane McIntosh,et al. Automatically repairing dependency-related build breakage , 2018, 2018 IEEE 25th International Conference on Software Analysis, Evolution and Reengineering (SANER).
[26] Foyzul Hassan,et al. HireBuild: An Automatic Approach to History-Driven Repair of Build Scripts , 2018, 2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE).
[27] Raffi Khatchadourian,et al. Going big: a large-scale study on what big data developers ask , 2019, ESEC/SIGSOFT FSE.
[28] Gabriele Bavota,et al. Taxonomy of Real Faults in Deep Learning Systems , 2019, 2020 IEEE/ACM 42nd International Conference on Software Engineering (ICSE).
[29] Paul Ralph,et al. Toward Methodological Guidelines for Process Theories and Taxonomies in Software Engineering , 2019, IEEE Transactions on Software Engineering.
[30] Xinli Yang,et al. What Security Questions Do Developers Ask? A Large-Scale Study of Stack Overflow Posts , 2016, Journal of Computer Science and Technology.
[31] Hung Viet Nguyen,et al. Fault localization for build code errors in makefiles , 2014, ICSE Companion.
[32] Matús Sulír,et al. A quantitative study of Java software buildability , 2016, PLATEAU@SPLASH.