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Anand Ashok Sawant
Anand Ashok Sawant
Verified email at ucdavis.edu - Homepage
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Cited by
Year
On the reaction to deprecation of 25,357 clients of 4+ 1 popular Java APIs
AA Sawant, R Robbes, A Bacchelli
32nd IEEE International Conference on Software Maintenance and Evolution, 2016
522016
On the reaction to deprecation of clients of 4+ 1 popular Java APIs and the JDK
AA Sawant, R Robbes, A Bacchelli
Empirical Software Engineering 23 (4), 2158-2197, 2018
492018
fine-GRAPE: fine-Grained APi usage Extractor An Approach and Dataset to Investigate API Usage
AA Sawant, A Bacchelli
Empirical Software Engineering, 1-24, 2016
452016
A dataset for API usage
AA Sawant, A Bacchelli
2015 IEEE/ACM 12th Working Conference on Mining Software Repositories, 506-509, 2015
412015
What makes a code change easier to review: an empirical investigation on code change reviewability
A Ram, AA Sawant, M Castelluccio, A Bacchelli
Proceedings of the 2018 26th ACM Joint Meeting on European Software …, 2018
402018
Understanding developers' needs on deprecation as a language feature
AA Sawant, M Aniche, A van Deursen, A Bacchelli
2018 IEEE/ACM 40th International Conference on Software Engineering (ICSE …, 2018
302018
To react, or not to react: Patterns of reaction to API deprecation
AA Sawant, R Robbes, A Bacchelli
Empirical Software Engineering 24 (6), 3824-3870, 2019
262019
Why are features deprecated? an investigation into the motivation behind deprecation
AA Sawant, G Huang, G Vilen, S Stojkovski, A Bacchelli
2018 ieee international conference on software maintenance and evolution …, 2018
202018
Revisiting test smells in automatically generated tests: limitations, pitfalls, and opportunities
A Panichella, S Panichella, G Fraser, AA Sawant, VJ Hellendoorn
2020 IEEE International Conference on Software Maintenance and Evolution …, 2020
162020
Visualizing code and coverage changes for code review
S Oosterwaal, A Deursen, R Coelho, AA Sawant, A Bacchelli
Proceedings of the 2016 24th ACM SIGSOFT international symposium on …, 2016
102016
The impact of API evolution on API consumers and how this can be affected by API producers and language designers
AA Sawant
Delft University of Technology, 2019
52019
The growing cost of deep learning for source code
VJ Hellendoorn, AA Sawant
Communications of the ACM 65 (1), 31-33, 2021
42021
Naturally!: How breakthroughs in natural language processing can dramatically help developers
AA Sawant, P Devanbu
IEEE Software 38 (5), 118-123, 2021
42021
Finding Inlined Functions in Optimized Binaries
T Ahmed, P Devanbu, AA Sawant
arXiv preprint arXiv:2103.05221, 2021
42021
What Makes a Code Change Easier to Review
A Ram, AA Sawant, M Castelluccio, A Bacchelli
An Empirical Investigation on Code Change Reviewability. ESEC/FSE. DOI …, 2018
22018
The indolent lambdification of Java: Understanding the support for lambda expressions in the Java ecosystem
F Petrulio, AA Sawant, A Bacchelli
Empirical Software Engineering 26 (6), 2021
12021
Learning to Find Usage of Library Functions in Optimized Binaries
T Ahmed, P Devanbu, AA Sawant
IEEE Transactions on Software Engineering, 2021
12021
Mining motivated trends of usage of Haskell libraries
M Juchli, L Krombeen, S Rao, CS Yu, AA Sawant, A Bacchelli
2017 IEEE/ACM 1st International Workshop on API Usage and Evolution (WAPI …, 2017
12017
Test smells 20 years later: detectability, validity, and reliability
A Panichella, S Panichella, G Fraser, AA Sawant, VJ Hellendoorn
Empirical Software Engineering 27 (7), 1-40, 2022
2022
Learning To Predict User-Defined Types
K Jesse, P Devanbu, AA Sawant
IEEE Transactions on Software Engineering, 2022
2022
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