Anand Ashok Sawant

Orcid: 0000-0002-5816-8020

According to our database1, Anand Ashok Sawant authored at least 24 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
RefactorScore: Evaluating Refactor Prone Code.
IEEE Trans. Software Eng., November, 2023

Learning to Predict User-Defined Types.
IEEE Trans. Software Eng., April, 2023

Training industrial end-user programmers with interactive tutorials.
Softw. Pract. Exp., March, 2023

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries.
CoRR, 2023

Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binarie.
Proceedings of the IEEE International Conference on Software Analysis, 2023

2022
CAPYBARA: Decompiled Binary Functions and Related Summaries.
Dataset, October, 2022

BinT5: Binary Code Summarisation Model.
Dataset, October, 2022

Learning to Find Usages of Library Functions in Optimized Binaries.
IEEE Trans. Software Eng., 2022

Test smells 20 years later: detectability, validity, and reliability.
Empir. Softw. Eng., 2022

The growing cost of deep learning for source code.
Commun. ACM, 2022

2021
Naturally!: How Breakthroughs in Natural Language Processing Can Dramatically Help Developers.
IEEE Softw., 2021

The indolent lambdification of Java.
Empir. Softw. Eng., 2021

Finding Inlined Functions in Optimized Binaries.
CoRR, 2021

2020
Revisiting Test Smells in Automatically Generated Tests: Limitations, Pitfalls, and Opportunities.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019
To react, or not to react: Patterns of reaction to API deprecation.
Empir. Softw. Eng., 2019

2018
On the reaction to deprecation of clients of 4 + 1 popular Java APIs and the JDK.
Empir. Softw. Eng., 2018

What makes a code change easier to review: an empirical investigation on code change reviewability.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Why are Features Deprecated? An Investigation Into the Motivation Behind Deprecation.
Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018

Understanding developers' needs on deprecation as a language feature.
Proceedings of the 40th International Conference on Software Engineering, 2018

2017
fine-GRAPE: fine-grained APi usage extractor - an approach and dataset to investigate API usage.
Empir. Softw. Eng., 2017

Mining Motivated Trends of Usage of Haskell Libraries.
Proceedings of the 1st IEEE/ACM International Workshop on API Usage and Evolution, 2017

2016
Visualizing code and coverage changes for code review.
Proceedings of the 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2016

On the Reaction to Deprecation of 25, 357 Clients of 4+1 Popular Java APIs.
Proceedings of the 2016 IEEE International Conference on Software Maintenance and Evolution, 2016

2015
A Dataset for API Usage.
Proceedings of the 12th IEEE/ACM Working Conference on Mining Software Repositories, 2015


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