Fetching the paper…
Reading the bibliography…
For decades, much software engineering research has been dedicated to devising automated solutions aimed at enhancing developer productivity and elevating software quality.
P. R. Lawrence, “How to deal with resistance to change.” Harvard Business Review , 1969
1969
Earlier work this paper cites.
E. Tulving and D. M. Thomson, “Encoding specificity and retrieval processes in episodic memory.” Psychological Review , vol. 80, pp. 352–373, 1973
1973
Earlier work this paper cites.
S. C. Johnson, “Lint, a C program checker,” Computing Science TR , vol. 65, 1977
1977
Earlier work this paper cites.
E. M. Clarke and E. A. Emerson, “Design and synthesis of synchronization skeletons using branching-time temporal logic,” in Logics of Programs, Workshop, Yorktown Heights, New York, USA, May 1981 , ser. Lecture Notes in Computer Science, D. Kozen, Ed., vol. 131. Springer, 1981, pp. 52–71
1981
Earlier work this paper cites.
J. Queille and J. Sifakis, “Specification and verification of concurrent systems in CESAR,” in International Symposium on Programming, 5th Colloquium, Torino, Italy, April 6-8, 1982, Proceedings , ser. Lecture Notes in Computer Science, M. Dezani-Ciancaglini and U. Montanari, Eds., vol. 137. Springer, 1982, pp. 337–351
1982
Earlier work this paper cites.
B. M. Muir, “Trust between humans and machines, and the design of decision aids,” Int. J. Man Mach. Stud. , vol. 27, pp. 527–539, 1987
1987
Earlier work this paper cites.
D. Partridge, “Artificial intelligence and software engineering: A survey of possibilities,” Information and Software Technology , vol. 30, no. 3, pp. 146–152, 1988
1988
Earlier work this paper cites.
B. P. Miller, L. Fredriksen, and B. So, “An empirical study of the reliability of UNIX utilities,” Commun. ACM , vol. 33, no. 12, pp. 32–44, 1990
1990
Earlier work this paper cites.
M. Csikszentmihalyi, Flow: The Psychology of Optimal Experience. New York: Harper & Row, 1990
1990
Earlier work this paper cites.
H. H. Clark and S. E. Brennan, “Grounding in communication,” in Perspectives on socially shared cognition , L. B. Resnick, J. M. Levine, and S. D. Teasley, Eds. American Psychological Association, 1991, pp. 127–149
1991
Earlier work this paper cites.
V. Satir, J. Banmen, J. Gerber, and M. Gomori, The Satir Model: Family Therapy & Beyond . Science & Behavior Books, 1991
1991
Earlier work this paper cites.
R. Parasuraman and V. Riley, “Humans and automation: Use, misuse, disuse, abuse,” Human Factors , vol. 39, no. 2, pp. 230–253, 1997
1997
Earlier work this paper cites.
J.-Y. Jian, A. Bisantz, and C. Drury, “Foundations for an empirically determined scale of trust in automated systems,” International Journal of Cognitive Ergonomics , vol. 4, pp. 53–71, 03 2000
2000
Earlier work this paper cites.
T. Kamiya, S. Kusumoto, and K. Inoue, “CCFinder: A multilinguistic token-based code clone detection system for large scale source code,” IEEE Trans. Software Eng. , vol. 28, no. 7, pp. 654–670, 2002
2002
Earlier work this paper cites.
A. D. Baddeley, “Working memory: looking back and looking forward,” Nature Reviews Neuroscience , vol. 4, no. 10, pp. 829–839, 2003
2003
Earlier work this paper cites.
L. Lindstrom and K. Beck, “It gets worse before it gets better: Changing to XP,” Cutter IT Journal , vol. 16, no. 2, pp. 12–17, 2003
2003
Earlier work this paper cites.
P. McCorduck, Machines Who Think: A Personal Inquiry into the History and Prospects of Artificial Intelligence . A K Peters/CRC Press, 2004
2004
Earlier work this paper cites.
J. D. Lee and K. A. See, “Trust in automation: Designing for appropriate reliance,” Human Factors , vol. 46, no. 1, pp. 50–80, 2004
2004
Earlier work this paper cites.
A. E. Hassan, R. C. Holt, and A. Mockus, “Report on MSR 2004: International workshop on mining software repositories,” ACM SIGSOFT Softw. Eng. Notes , vol. 30, no. 1, p. 4, 2005
2005
Earlier work this paper cites.
J. A. Jones and M. J. Harrold, “Empirical evaluation of the tarantula automatic fault-localization technique,” in 20th IEEE/ACM International Conference on Automated Software Engineering (ASE 2005), November 7-11, 2005, Long Beach, CA, USA , D. F. Redmiles, T. Ellman, and A. Zisman, Eds. ACM, 2005, pp. 273–282
2005
Earlier work this paper cites.
D. Lo and S. Khoo, “SMArTIC: towards building an accurate, robust and scalable specification miner,” in Proceedings of the 14th ACM SIGSOFT International Symposium on Foundations of Software Engineering, FSE 2006, Portland, Oregon, USA, November 5-11, 2006 , M. Young and P. T. Devanbu, Eds. ACM, 2006, pp. 265–275
2006
Earlier work this paper cites.
G. Veletsianos, “Cognitive and affective benefits of an animated pedagogical agent: Considering contextual relevance and aesthetics,” Journal of Educational Computing Research , vol. 36, no. 4, pp. 373–377, 2007
2007
Earlier work this paper cites.
T. Menzies, J. Greenwald, and A. Frank, “Data mining static code attributes to learn defect predictors,” IEEE Trans. Software Eng. , vol. 33, no. 1, pp. 2–13, 2007
2007
Earlier work this paper cites.
L. Jiang, G. Misherghi, Z. Su, and S. Glondu, “DECKARD: scalable and accurate tree-based detection of code clones,” in 29th International Conference on Software Engineering (ICSE 2007), Minneapolis, MN, USA, May 20-26, 2007 . IEEE Computer Society, 2007, pp. 96–105
2007
Earlier work this paper cites.
X. Wang, L. Zhang, T. Xie, J. Anvik, and J. Sun, “An approach to detecting duplicate bug reports using natural language and execution information,” in 30th International Conference on Software Engineering (ICSE 2008), Leipzig, Germany, May 10-18, 2008 , W. Schäfer, M. B. Dwyer, and V. Gruhn, Eds. ACM, 2008, pp. 461–470
2008
Earlier work this paper cites.
T. Xie, S. Thummalapenta, D. Lo, and C. Liu, “Data mining for software engineering,” Computer , vol. 42, no. 8, pp. 55–62, 2009
2009
Earlier work this paper cites.
H. Cheng, D. Lo, Y. Zhou, X. Wang, and X. Yan, “Identifying bug signatures using discriminative graph mining,” in Proceedings of the Eighteenth International Symposium on Software Testing and Analysis, ISSTA 2009, Chicago, IL, USA, July 19-23, 2009 , G. Rothermel and L. K. Dillon, Eds. ACM, 2009, pp. 141–152
2009
Earlier work this paper cites.
M. Harman, S. Poulding, and M. D. Penta, Eds., Search Based Software Engineering - First International Symposium, SSBSE 2009 , 2009
2009
Earlier work this paper cites.
D. Lo, H. Cheng, J. Han, S. Khoo, and C. Sun, “Classification of software behaviors for failure detection: a discriminative pattern mining approach,” in Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009 , J. F. E. IV, F. Fogelman-Soulié, P. A. Flach, and M. J. Zaki, Eds. ACM, 2009, pp. 557–566
2009
Earlier work this paper cites.
D. W. Binkley and D. J. Lawrie, “Development: Information retrieval applications,” in Encyclopedia of Software Engineering , P. A. Laplante, Ed. Taylor & Francis, 2010, pp. 231–242
2010
Earlier work this paper cites.
T. Mende and R. Koschke, “Effort-aware defect prediction models,” in 14th European Conference on Software Maintenance and Reengineering, CSMR 2010, 15-18 March 2010, Madrid, Spain , R. Capilla, R. Ferenc, and J. C. Dueñas, Eds. IEEE Computer Society, 2010, pp. 107–116
2010
Earlier work this paper cites.
C. Parnin and A. Orso, “Are automated debugging techniques actually helping programmers?” in Proceedings of the 20th International Symposium on Software Testing and Analysis, ISSTA 2011, Toronto, ON, Canada, July 17-21, 2011 , M. B. Dwyer and F. Tip, Eds. ACM, 2011, pp. 199–209
2011
Earlier work this paper cites.
A. Budi, D. Lo, L. Jiang, and Lucia, “ kb -anonymity: a model for anonymized behaviour-preserving test and debugging data,” in Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 2011, San Jose, CA, USA, June 4-8, 2011 , M. W. Hall and D. A. Padua, Eds. ACM, 2011, pp. 447–457
2011
Earlier work this paper cites.
A. Hindle, E. T. Barr, Z. Su, M. Gabel, and P. T. Devanbu, “On the naturalness of software,” in 34th International Conference on Software Engineering, ICSE 2012, June 2-9, 2012, Zurich, Switzerland , M. Glinz, G. C. Murphy, and M. Pezzè, Eds. IEEE Computer Society, 2012, pp. 837–847
2012
Earlier work this paper cites.
Lucia, D. Lo, L. Jiang, and A. Budi, “kbe-anonymity: test data anonymization for evolving programs,” in IEEE/ACM International Conference on Automated Software Engineering, ASE’12, Essen, Germany, September 3-7, 2012 , M. Goedicke, T. Menzies, and M. Saeki, Eds. ACM, 2012, pp. 262–265
2012
Earlier work this paper cites.
Y. Tian, D. Lo, and C. Sun, “Information retrieval based nearest neighbor classification for fine-grained bug severity prediction,” in 19th Working Conference on Reverse Engineering, WCRE 2012, Kingston, ON, Canada, October 15-18, 2012 . IEEE Computer Society, 2012, pp. 215–224
2012
Earlier work this paper cites.
M. P. Robillard, E. Bodden, D. Kawrykow, M. Mezini, and T. Ratchford, “Automated API property inference techniques,” IEEE Trans. Software Eng. , vol. 39, no. 5, pp. 613–637, 2013
2013
Earlier work this paper cites.
F. Thung, T. F. Bissyandé, D. Lo, and L. Jiang, “Network structure of social coding in GitHub,” in 17th European Conference on Software Maintenance and Reengineering, CSMR 2013, Genova, Italy, March 5-8, 2013 , A. Cleve, F. Ricca, and M. Cerioli, Eds. IEEE Computer Society, 2013, pp. 323–326
2013
Earlier work this paper cites.
T. F. Bissyandé, D. Lo, L. Jiang, L. Réveillère, J. Klein, and Y. L. Traon, “Got issues? who cares about it? A large scale investigation of issue trackers from GitHub,” in IEEE 24th International Symposium on Software Reliability Engineering, ISSRE 2013, Pasadena, CA, USA, November 4-7, 2013 . IEEE Computer Society, 2013, pp. 188–197
2013
Earlier work this paper cites.
T. F. Bissyandé, F. Thung, D. Lo, L. Jiang, and L. Réveillère, “Popularity, interoperability, and impact of programming languages in 100, 000 open source projects,” in 37th Annual IEEE Computer Software and Applications Conference, COMPSAC 2013, Kyoto, Japan, July 22-26, 2013 . IEEE Computer Society, 2013, pp. 303–312
2013
Earlier work this paper cites.
X. Xia, D. Lo, X. Wang, and B. Zhou, “Tag recommendation in software information sites,” in Proceedings of the 10th Working Conference on Mining Software Repositories, MSR ’13, San Francisco, CA, USA, May 18-19, 2013 , T. Zimmermann, M. D. Penta, and S. Kim, Eds. IEEE Computer Society, 2013, pp. 287–296
2013
Earlier work this paper cites.
B. Johnson, Y. Song, E. R. Murphy-Hill, and R. W. Bowdidge, “Why don’t software developers use static analysis tools to find bugs?” in 35th International Conference on Software Engineering, ICSE ’13, San Francisco, CA, USA, May 18-26, 2013 , D. Notkin, B. H. C. Cheng, and K. Pohl, Eds. IEEE Computer Society, 2013, pp. 672–681
2013
Earlier work this paper cites.
F. Thung, D. Lo, and J. Lawall, “Automated library recommendation,” in 20th Working Conference on Reverse Engineering, WCRE 2013, Koblenz, Germany, October 14-17, 2013 , R. Lämmel, R. Oliveto, and R. Robbes, Eds. IEEE Computer Society, 2013, pp. 182–191
2013
Earlier work this paper cites.
F. Peters, T. Menzies, L. Gong, and H. Zhang, “Balancing privacy and utility in cross-company defect prediction,” IEEE Trans. Software Eng. , vol. 39, no. 8, pp. 1054–1068, 2013
2013
Earlier work this paper cites.
A. N. Meyer, T. Fritz, G. C. Murphy, and T. Zimmermann, “Software developers’ perceptions of productivity,” in Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering, (FSE-22), Hong Kong, China, November 16 - 22, 2014 , S. Cheung, A. Orso, and M. D. Storey, Eds. ACM, 2014, pp. 19–29
2014
Earlier work this paper cites.
N. Mangano, T. D. LaToza, M. Petre, and A. van der Hoek, “How software designers interact with sketches at the whiteboard,” IEEE Transactions on Software Engineering , vol. 41, no. 2, pp. 135–156, 2014
2014
Earlier work this paper cites.
T. Avgerinos, S. K. Cha, A. Rebert, E. J. Schwartz, M. Woo, and D. Brumley, “Automatic exploit generation,” Commun. ACM , vol. 57, no. 2, pp. 74–84, 2014
2014
Earlier work this paper cites.
S. Chattopadhyay, L. K. Chong, A. Roychoudhury, T. Kelter, P. Marwedel, and H. Falk, “A unified WCET analysis framework for multicore platforms,” ACM Trans. Embed. Comput. Syst. , vol. 13, no. 4s, pp. 124:1–124:29, 2014
2014
Earlier work this paper cites.
M. Li, H. Zhang, D. Lo, and Lucia, “Improving software quality and productivity leveraging mining techniques: [summary of the second workshop on software mining, at ASE 2013],” ACM SIGSOFT Softw. Eng. Notes , vol. 40, no. 1, pp. 1–2, 2015
2015
Earlier work this paper cites.
S. Beyer and M. Pinzger, “Synonym suggestion for tags on Stack Overflow,” in 2015 IEEE 23rd International Conference on Program Comprehension . IEEE, 2015, pp. 94–103
2015
Earlier work this paper cites.
X. Yang, D. Lo, X. Xia, Y. Zhang, and J. Sun, “Deep learning for just-in-time defect prediction,” in 2015 IEEE International Conference on Software Quality, Reliability and Security . IEEE, 2015, pp. 17–26
2015
Earlier work this paper cites.
M. White, C. Vendome, M. L. Vásquez, and D. Poshyvanyk, “Toward deep learning software repositories,” in 12th IEEE/ACM Working Conference on Mining Software Repositories, MSR 2015, Florence, Italy, May 16-17, 2015 , M. D. Penta, M. Pinzger, and R. Robbes, Eds. IEEE Computer Society, 2015, pp. 334–345
2015
Cited alongside, same era.
D. Lo, N. Nagappan, and T. Zimmermann, “How practitioners perceive the relevance of software engineering research,” in Proceedings of the 2015 10th Joint Meeting on Foundations of Software Engineering, ESEC/FSE 2015, Bergamo, Italy, August 30 - September 4, 2015 , E. D. Nitto, M. Harman, and P. Heymans, Eds. ACM, 2015, pp. 415–425
2015
Cited alongside, same era.
R. Minelli, A. Mocci, and M. Lanza, “I know what you did last summer: an investigation of how developers spend their time,” in Proceedings of the 2015 IEEE 23rd International Conference on Program Comprehension, ICPC 2015, Florence/Firenze, Italy, May 16-24, 2015 , A. D. Lucia, C. Bird, and R. Oliveto, Eds. IEEE Computer Society, 2015, pp. 25–35
2015
Cited alongside, same era.
X. Hu, X. Xia, D. Lo, Z. Wan, Q. Chen, and T. Zimmermann, “Practitioners’ expectations on automated code comment generation,” in 44th IEEE/ACM 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 25-27, 2022 . ACM, 2022, pp. 1693–1705
2022
Later among the works it cites.
S. Park, S. Kim, and Y. Lim, “Fairness audit of machine learning models with confidential computing,” in WWW ’22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25 - 29, 2022 , F. Laforest, R. Troncy, E. Simperl, D. Agarwal, A. Gionis, I. Herman, and L. Médini, Eds. ACM, 2022, pp. 3488–3499
2022
Later among the works it cites.
Z. Yang, J. Shi, J. He, and D. Lo, “Natural attack for pre-trained models of code,” in 44th IEEE/ACM 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 25-27, 2022 . ACM, 2022, pp. 1482–1493
2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
K. A. Hoff and M. Bashir, “Trust in automation: Integrating empirical evidence on factors that influence trust,” Human Factors , vol. 57, no. 3, pp. 407–434, 2015
2015
Cited alongside, same era.
M. Sabt, M. Achemlal, and A. Bouabdallah, “Trusted execution environment: What it is, and what it is not,” in 2015 IEEE TrustCom/BigDataSE/ISPA, Helsinki, Finland, August 20-22, 2015, Volume 1 . IEEE, 2015, pp. 57–64
2015
Cited alongside, same era.
Y. Cao and J. Yang, “Towards making systems forget with machine unlearning,” in 2015 IEEE Symposium on Security and Privacy, SP 2015, San Jose, CA, USA, May 17-21, 2015 . IEEE Computer Society, 2015, pp. 463–480
2015
Cited alongside, same era.
X. D. Le, T. B. Le, and D. Lo, “Should fixing these failures be delegated to automated program repair?” in 26th IEEE International Symposium on Software Reliability Engineering, ISSRE 2015, Gaithersbury, MD, USA, November 2-5, 2015 . IEEE Computer Society, 2015, pp. 427–437
2015
Cited alongside, same era.
P. S. Kochhar, X. Xia, D. Lo, and S. Li, “Practitioners’ expectations on automated fault localization,” in Proceedings of the 25th International Symposium on Software Testing and Analysis, ISSTA 2016, Saarbrücken, Germany, July 18-20, 2016 , A. Zeller and A. Roychoudhury, Eds. ACM, 2016, pp. 165–176
2016
Cited alongside, same era.
M. Christakis and C. Bird, “What developers want and need from program analysis: An empirical study,” in Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, ASE 2016, Singapore, September 3-7, 2016 , D. Lo, S. Apel, and S. Khurshid, Eds. ACM, 2016, pp. 332–343
2016
Cited alongside, same era.
X. Xia, L. Bao, D. Lo, and S. Li, “‘Automated debugging considered harmful’ considered harmful: A user study revisiting the usefulness of spectra-based fault localization techniques with professionals using real bugs from large systems,” in 2016 IEEE International Conference on Software Maintenance and Evolution, ICSME 2016, Raleigh, NC, USA, October 2-7, 2016 . IEEE Computer Society, 2016, pp. 267–278
2016
Cited alongside, same era.
P. T. Devanbu, T. Zimmermann, and C. Bird, “Belief & evidence in empirical software engineering,” in Proceedings of the 38th International Conference on Software Engineering, ICSE 2016, Austin, TX, USA, May 14-22, 2016 , L. K. Dillon, W. Visser, and L. A. Williams, Eds. ACM, 2016, pp. 108–119
2016
Cited alongside, same era.
B. Xu, Z. Xing, X. Xia, and D. Lo, “AnswerBot: automated generation of answer summary to developersź technical questions,” in Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, ASE 2017, Urbana, IL, USA, October 30 - November 03, 2017 , G. Rosu, M. D. Penta, and T. N. Nguyen, Eds. IEEE Computer Society, 2017, pp. 706–716
2017
Cited alongside, same era.
Y. Gui, Y. Wan, H. Zhang, H. Huang, Y. Sui, G. Xu, Z. Shao, and H. Jin, “Cross-language binary-source code matching with intermediate representations,” in IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER 2022, Honolulu, HI, USA, March 15-18, 2022 . IEEE, 2022, pp. 601–612
2022
Later among the works it cites.
T. Ahmed and P. T. Devanbu, “Few-shot training LLMs for project-specific code-summarization,” in 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, Rochester, MI, USA, October 10-14, 2022 . ACM, 2022, pp. 177:1–177:5
2022
Later among the works it cites.
B. Rozière, J. Zhang, F. Charton, M. Harman, G. Synnaeve, and G. Lample, “Leveraging automated unit tests for unsupervised code translation,” in The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022 . OpenReview.net, 2022
2022
Later among the works it cites.
Y. Liu, J. Lin, O. Anuyah, R. A. Metoyer, and J. Cleland-Huang, “Generating and visualizing trace link explanations,” in 44th IEEE/ACM 44th International Conference on Software Engineering, ICSE 2022, Pittsburgh, PA, USA, May 25-27, 2022 . ACM, 2022, pp. 1033–1044
2022
Later among the works it cites.
R. Widyasari, G. A. A. Prana, S. A. Haryono, Y. Tian, H. N. Zachiary, and D. Lo, “XAI4FL: Enhancing spectrum-based fault localization with explainable artificial intelligence,” in Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, ICPC 2022, Virtual Event, May 16-17, 2022 , A. Rastogi, R. Tufano, G. Bavota, V. Arnaoudova, and S. Haiduc, Eds. ACM, 2022, pp. 499–510
2022
Later among the works it cites.
H. J. Kang, T. G. Nguyen, B. Le, C. S. Pasareanu, and D. Lo, “Test mimicry to assess the exploitability of library vulnerabilities,” in ISSTA ’22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18 - 22, 2022 , S. Ryu and Y. Smaragdakis, Eds. ACM, 2022, pp. 276–288
2022
Later among the works it cites.
J. Shi, Z. Yang, B. Xu, H. J. Kang, and D. Lo, “Compressing pre-trained models of code into 3 MB,” in 37th IEEE/ACM International Conference on Automated Software Engineering, ASE 2022, Rochester, MI, USA, October 10-14, 2022 . ACM, 2022, pp. 24:1–24:12
2022
Later among the works it cites.
S. Shanbhag and S. Chimalakonda, “Exploring the under-explored terrain of non-open source data for software engineering through the lens of federated learning,” in Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022 , A. Roychoudhury, C. Cadar, and M. Kim, Eds. ACM, 2022, pp. 1610–1614
2022
Later among the works it cites.
C. Metz. (2022) Lawsuit takes aim at the way A.I. is built. Accessed: 2023-08-19. [Online]. Available: https://www.nytimes.com/2022/11/23/technology/copilot-microsoft-ai-lawsuit.html
2022
Later among the works it cites.
N. Mehrotra, N. Agarwal, P. Gupta, S. Anand, D. Lo, and R. Purandare, “Modeling functional similarity in source code with graph-based siamese networks,” IEEE Trans. Software Eng. , vol. 48, no. 10, pp. 3771–3789, 2022
2022
Later among the works it cites.
Y. Wan, S. Zhang, H. Zhang, Y. Sui, G. Xu, D. Yao, H. Jin, and L. Sun, “You see what I want you to see: poisoning vulnerabilities in neural code search,” in Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2022, Singapore, Singapore, November 14-18, 2022 , A. Roychoudhury, C. Cadar, and M. Kim, Eds. ACM, 2022, pp. 1233–1245
2022
Later among the works it cites.
D. Jarman, J. Berry, R. Smith, F. Thung, and D. Lo, “Legion: Massively composing rankers for improved bug localization at adobe,” IEEE Trans. Software Eng. , vol. 48, no. 8, pp. 3010–3024, 2022
2022
Later among the works it cites.
Y. Bengio, “Springtime for AI: The rise of deep learning,” Scientific American , 2016, accessed: 2023-08-30. [Online]. Available: https://www.scientificamerican.com/article/springtime-for-ai-the-rise-of-deep-learning/
2023
Closest in time.
OpenAI, “GPT-4 technical report,” CoRR , vol. abs/2303.08774, 2023
2023
Closest in time.
2023
Closest in time.
2023
Closest in time.
S. McManus. (2023) Friend or foe: Can computer coders trust ChatGPT? Accessed: 2023-08-18. [Online]. Available: https://www.bbc.com/news/business-65086798
2023
Closest in time.
T. Claburn. (2023) ChatGPT creates mostly insecure code, but won’t tell you unless you ask. Accessed: 2023-08-18. [Online]. Available: https://www.theregister.com/2023/04/21/chatgpt_insecure_code/
2023
Closest in time.
2023
Closest in time.
Z. Zhang, Y. Lei, X. Mao, M. Yan, X. Xia, and D. Lo, “Context-aware neural fault localization,” IEEE Trans. Software Eng. , vol. 49, no. 7, pp. 3939–3954, 2023
2023
Closest in time.
M. Kruppa, “Google DeepMind CEO says some form of AGI possible in a few years,” The Wall Street Journal , 2023, accessed: 2023-08-19. [Online]. Available: https://www.wsj.com/articles/google-deepmind-ceo-says-some-form-of-agi-possible-in-a-few-years-2705f452
2023
Closest in time.
2023
Closest in time.
B. Johnson, C. Bird, D. Ford, N. Forsgren, and T. Zimmermann, “Make your tools sparkle with trust: The PICSE framework for trust in software tools,” in 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Practice, SEIP@ICSE 2023, Melbourne, Australia, May 14-20, 2023 . IEEE, 2023, pp. 409–419
2023
Closest in time.
2023
Closest in time.
2023
Closest in time.
2023
Closest in time.
A. Ahmad, M. Waseem, P. Liang, M. Fahmideh, M. S. Aktar, and T. Mikkonen, “Towards human-bot collaborative software architecting with ChatGPT,” in Proceedings of the 27th International Conference on Evaluation and Assessment in Software Engineering, EASE 2023, Oulu, Finland, June 14-16, 2023 . ACM, 2023, pp. 279–285
2023
Closest in time.
2023
Closest in time.
A. Mastropaolo, L. Pascarella, E. Guglielmi, M. Ciniselli, S. Scalabrino, R. Oliveto, and G. Bavota, “On the robustness of code generation techniques: An empirical study on GitHub Copilot,” in 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20, 2023 . IEEE, 2023, pp. 2149–2160
2023
Closest in time.
2023
Closest in time.
X. Zhou, K. Kim, B. Xu, J. Liu, D. Han, and D. Lo, “The devil is in the tails: How long-tailed code distributions impact large language models,” in IEEE/ACM International Conference on Automated Software Engineering, ASE 2023 . IEEE, 2023
2023
Closest in time.
2023
Closest in time.
H. Joshi, J. P. C. Sánchez, S. Gulwani, V. Le, G. Verbruggen, and I. Radicek, “Repair is nearly generation: Multilingual program repair with LLMs,” in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023 , B. Williams, Y. Chen, and J. Neville, Eds. AAAI Press, 2023, pp. 5131–5140
2023
Closest in time.
Z. Fan, X. Gao, M. Mirchev, A. Roychoudhury, and S. H. Tan, “Automated repair of programs from large language models,” in 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20, 2023 . IEEE, 2023, pp. 1469–1481
2023
Closest in time.
2023
Closest in time.
2023
Closest in time.
L. Li, S. H. H. Ding, Y. Tian, B. C. M. Fung, P. Charland, W. Ou, L. Song, and C. Chen, “VulANalyzeR: Explainable binary vulnerability detection with multi-task learning and attentional graph convolution,” ACM Trans. Priv. Secur. , vol. 26, no. 3, April 2023
2023
Closest in time.
P. Mahbub, O. Shuvo, and M. M. Rahman, “Explaining software bugs leveraging code structures in neural machine translation,” in 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20, 2023 . IEEE, 2023, pp. 640–652
2023
Closest in time.
2023
Closest in time.
2023
Closest in time.
F. Gao, Y. Wang, and K. Wang, “Discrete adversarial attack to models of code,” Proc. ACM Program. Lang. , vol. 7, no. PLDI, pp. 172–195, 2023
2023
Closest in time.
A. Jha and C. K. Reddy, “CodeAttack: Code-based adversarial attacks for pre-trained programming language models,” in Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023 , B. Williams, Y. Chen, and J. Neville, Eds. AAAI Press, 2023, pp. 14 892–14 900
2023
Closest in time.
2023
Closest in time.
2023
Closest in time.
C. Niu, C. Li, V. Ng, and B. Luo, “CrossCodeBench: Benchmarking cross-task generalization of source code models,” in 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20, 2023 . IEEE, 2023, pp. 537–549
2023
Closest in time.
2023
Closest in time.
C. Niu, C. Li, V. Ng, D. Lo, and B. Luo, “Fair: Flow type-aware pre-training of compiler intermediate representations,” in IEEE/ACM International Conference on Software Engineering, ICSE 2024 . ACM, 2024
2024
Closest in time.