CoverUp: Effective High Coverage Test Generation for Python

New directions in communications (or which way to the information age?)

J. Turner. 1986 · 1986

Earlier work this paper cites.

An Empirical Study of the Reliability of UNIX Utilities

Barton P. Miller, Lars Fredriksen, and Bryan So. 1990 · 1990

Earlier work this paper cites.

Korat: automated testing based on Java predicates. In Proceedings of the 2002 ACM SIGSOFT International Symposium on Software Testing and Analysis (Roma, Italy) (ISSTA ’02) . Association for Computing Machinery, New York, NY, USA, 123–133

Chandrasekhar Boyapati, Sarfraz Khurshid, and Darko Marinov. 2002 · 2002

Earlier work this paper cites.

DART: directed automated random testing. In Proceedings of the 2005 ACM SIGPLAN Conference on Programming Language Design and Implementation (Chicago, IL, USA) (PLDI ’05) . Association for Computing Machinery, New York, NY, USA, 213–223

Patrice Godefroid, Nils Klarlund, and Koushik Sen. 2005 · 2005

Earlier work this paper cites.

CUTE: a concolic unit testing engine for C. In Proceedings of the 10th European Software Engineering Conference Held Jointly with 13th ACM SIGSOFT International Symposium on Foundations of Software Engineering (Lisbon, Portugal) (ESEC/FSE-13) . Association for Computing Machinery, New York, NY, USA, 263–272

Koushik Sen, Darko Marinov, and Gul Agha. 2005 · 2005

Earlier work this paper cites.

Feedback-Directed Random Test Generation. In 29th International Conference on Software Engineering (ICSE 2007), Minneapolis, MN, USA, May 20-26, 2007 . IEEE Computer Society, 75–84

Carlos Pacheco, Shuvendu K. Lahiri, Michael D. Ernst, and Thomas Ball. 2007 · 2007

Earlier work this paper cites.

Pex-White Box Test Generation for .NET. In Tests and Proofs - 2nd International Conference, TAP 2008, Prato, Italy, April 9-11, 2008. Proceedings (Lecture Notes in Computer Science, Vol. 4966) , Bernhard Beckert and Reiner Hähnle (Eds.). Springer, 134–153

Nikolai Tillmann and Jonathan de Halleux. 2008 · 2008

Earlier work this paper cites.

Unit Test Case Generation with Transformers

Original

Michele Tufano, Dawn Drain, Alexey Svyatkovskiy, Shao Kun Deng, and Neel Sundaresan. 2020 · 2009

Earlier work this paper cites.

EvoSuite: automatic test suite generation for object-oriented software. In Proceedings of the 19th ACM SIGSOFT Symposium and the 13th European Conference on Foundations of Software Engineering (Szeged, Hungary) (ESEC/FSE ’11) . Association for Computing Machinery, New York, NY, USA, 416–419

Gordon Fraser and Andrea Arcuri. 2011 · 2011

Earlier work this paper cites.

Mutation-Driven Generation of Unit Tests and Oracles

Gordon Fraser and Andreas Zeller. 2012 · 2011

Earlier work this paper cites.

A Survey on Unit Testing Practices and Problems. In 25th IEEE International Symposium on Software Reliability Engineering, ISSRE 2014, Naples, Italy, November 3-6, 2014 . IEEE Computer Society, 201–211

Ermira Daka and Gordon Fraser. 2014 · 2014

Earlier work this paper cites.

A Large-Scale Evaluation of Automated Unit Test Generation Using EvoSuite

Gordon Fraser and Andrea Arcuri. 2014 · 2014

Earlier work this paper cites.

Reliable testing: detecting state-polluting tests to prevent test dependency. In Proceedings of the 2015 International Symposium on Software Testing and Analysis (Baltimore, MD, USA) (ISSTA 2015) . Association for Computing Machinery, New York, NY, USA, 223–233

Alex Gyori, August Shi, Farah Hariri, and Darko Marinov. 2015 · 2015

Earlier work this paper cites.

Reformulating Branch Coverage as a Many-Objective Optimization Problem. In 2015 IEEE 8th International Conference on Software Testing, Verification and Validation (ICST) . 1–10

Annibale Panichella, Fitsum Meshesha Kifetew, and Paolo Tonella. 2015 · 2015

Earlier work this paper cites.

Automated Test Case Generation as a Many-Objective Optimisation Problem with Dynamic Selection of the Targets

Annibale Panichella, Fitsum Meshesha Kifetew, and Paolo Tonella. 2018 · 2017

Cited alongside, same era.

A large-scale longitudinal study of flaky tests

Wing Lam, Stefan Winter, Anjiang Wei, Tao Xie, Darko Marinov, and Jonathan Bell. 2020 · 2020

Cited alongside, same era.

BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies. In ESEC/FSE ’20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, Virtual Event, USA, November 8-13, 2020 , Prem Devanbu, Myra B. Cohen, and Thomas Zimmermann (Eds.). ACM, 1556–1560

Ratnadira Widyasari, Sheng Qin Sim, Camellia Lok, Haodi Qi, Jack Phan, Qijin Tay, Constance Tan, Fiona Wee, Jodie Ethelda Tan, Yuheng Yieh, Brian Goh, Ferdian Thung, Hong Jin Kang, Thong Hoang, David Lo, and Eng Lieh Ouh. 2020 · 2020

Cited alongside, same era.

Evaluating Large Language Models Trained on Code

Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba. 2021 · 2021

An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation

Max Schäfer, Sarah Nadi, Aryaz Eghbali, and Frank Tip. 2024 · 2023

Later among the works it cites.

Can Large Language Models Write Good Property-Based Tests?

Original

Vasudev Vikram, Caroline Lemieux, and Rohan Padhye. 2023 · 2023

Later among the works it cites.

A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT

Original

Jules White, Quchen Fu, Sam Hays, Michael Sandborn, Carlos Olea, Henry Gilbert, Ashraf Elnashar, Jesse Spencer-Smith, and Douglas C. Schmidt. 2023 · 2023

Later among the works it cites.

Automated Unit Test Improvement using Large Language Models at Meta. In Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, FSE 2024, Porto de Galinhas, Brazil, July 15-19, 2024 , Marcelo d’Amorim (Ed.). ACM, 185–196

Nadia Alshahwan, Jubin Chheda, Anastasia Finogenova, Beliz Gokkaya, Mark Harman, Inna Harper, Alexandru Marginean, Shubho Sengupta, and Eddy Wang. 2024 · 2024

Closest in time.