Manishankar Mondal

Orcid: 0000-0003-1797-607X

According to our database1, Manishankar Mondal authored at least 55 papers between 2011 and 2025.

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

Timeline

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Bibliography

2025
Ranking co-change candidates suggested by FLeCCS using programmer sensitivity.
Sci. Comput. Program., 2025

2024
A Naive Approach for Automatic Line-level Code Completion.
CoRR, 2024

2023
Granularity-Based Comparison of the Bug-Proneness of Code Clones.
Proceedings of the 17th IEEE International Workshop on Software Clones, 2023

Context-Adaptation Bugs in Micro-Clones.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022
Evaluating the performance of clone detection tools in detecting cloned co-change candidates.
J. Syst. Softw., 2022

Predicting Buggy Code Clones through Machine Learning.
Proceedings of the 32nd Annual International Conference on Computer Science and Software Engineering, 2022

2021
ID-correspondence: a measure for detecting evolutionary coupling.
Empir. Softw. Eng., 2021

A Testing Approach While Re-engineering Legacy Systems: An Industrial Case Study.
Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

FLeCCS: A Technique for Suggesting Fragment-Level Similar Co-change Candidates.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

A Summary on the Stability of Code Clones and Current Research Trends.
Proceedings of the Code Clone Analysis, 2021

NiCad: A Modern Clone Detector.
Proceedings of the Code Clone Analysis, 2021

2020
A survey on clone refactoring and tracking.
J. Syst. Softw., 2020

HistoRank: History-Based Ranking of Co-change Candidates.
Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

Associating Code Clones with Association Rules for Change Impact Analysis.
Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

Evaluating Performance of Clone Detection Tools in Detecting Cloned Cochange Candidates.
Proceedings of the IEEE 14th International Workshop on Software Clones, 2020

Investigating Near-Miss Micro-Clones in Evolving Software.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

A Fine-Grained Analysis on the Inconsistent Changes in Code Clones.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2020

2019
Clone-World: A visual analytic system for large scale software clones.
Vis. Informatics, 2019

An empirical study on bug propagation through code cloning.
J. Syst. Softw., 2019

A Comparative Study of Software Bugs in Micro-clones and Regular Code Clones.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

Comparing bug replication in regular and micro code clones.
Proceedings of the 27th International Conference on Program Comprehension, 2019

Investigating Context Adaptation Bugs in Code Clones.
Proceedings of the 2019 IEEE International Conference on Software Maintenance and Evolution, 2019

Towards visualizing large scale evolving clones.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019

Ranking co-change candidates of micro-clones.
Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

Investigating the relationship between evolutionary coupling and software bug-proneness.
Proceedings of the 29th Annual International Conference on Computer Science and Software Engineering, 2019

2018
Bug-proneness and late propagation tendency of code clones: A Comparative study on different clone types.
J. Syst. Softw., 2018

Is cloned code really stable?
Empir. Softw. Eng., 2018

Micro-clones in evolving software.
Proceedings of the 25th International Conference on Software Analysis, 2018

[Research Paper] Detecting Evolutionary Coupling Using Transitive Association Rules.
Proceedings of the 18th IEEE International Working Conference on Source Code Analysis and Manipulation, 2018

Optimized Storing of Workflow Outputs through Mining Association Rules.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Comparing Software Bugs in Clone and Non-clone Code: An Empirical Study.
Int. J. Softw. Eng. Knowl. Eng., 2017

A Comparative Study of Software Bugs in Clone and Non-Clone Code.
Proceedings of the 29th International Conference on Software Engineering and Knowledge Engineering, 2017

Does cloned code increase maintenance effort?
Proceedings of the 11th IEEE International Workshop on Software Clones, 2017

Identifying code clones having high possibilities of containing bugs.
Proceedings of the 25th International Conference on Program Comprehension, 2017

Bug Propagation through Code Cloning: An Empirical Study.
Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

2016
A comparative study on the intensity and harmfulness of late propagation in near-miss code clones.
Softw. Qual. J., 2016

An Empirical Study on Ranking Change Recommendations Retrieved Using Code Similarity.
Proceedings of the 10th International Workshop on Software Clones, 2016

Bug Replication in Code Clones: An Empirical Study.
Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

An exploratory study on change suggestions for methods using clone detection.
Proceedings of the 26th Annual International Conference on Computer Science and Software Engineering, 2016

2015
SPCP-Miner: A tool for mining code clones that are important for refactoring or tracking.
Proceedings of the 22nd IEEE International Conference on Software Analysis, 2015

A comparative study on the bug-proneness of different types of code clones.
Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015

An empirical study on change recommendation.
Proceedings of 25th Annual International Conference on Computer Science and Software Engineering, 2015

2014
An insight into the dispersion of changes in cloned and non-cloned code: A genealogy based empirical study.
Sci. Comput. Program., 2014

Late Propagation in Near-Miss Clones: An Empirical Study.
Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2014

Automatic Identification of Important Clones for Refactoring and Tracking.
Proceedings of the 14th IEEE International Working Conference on Source Code Analysis and Manipulation, 2014

Prediction and ranking of co-change candidates for clones.
Proceedings of the 11th Working Conference on Mining Software Repositories, 2014

A Fine-Grained Analysis on the Evolutionary Coupling of Cloned Code.
Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014

Improving the detection accuracy of evolutionary coupling by measuring change correspondence.
Proceedings of the 2014 Software Evolution Week, 2014

Automatic ranking of clones for refactoring through mining association rules.
Proceedings of the 2014 Software Evolution Week, 2014

2013
Improving the detection accuracy of evolutionary coupling.
Proceedings of the IEEE 21st International Conference on Program Comprehension, 2013

Insight into a method co-change pattern to identify highly coupled methods: An empirical study.
Proceedings of the IEEE 21st International Conference on Program Comprehension, 2013

2012
Comparative stability of cloned and non-cloned code: an empirical study.
Proceedings of the ACM Symposium on Applied Computing, 2012

Dispersion of changes in cloned and non-cloned code.
Proceedings of the Proceeding of the 6th International Workshop on Software Clones, 2012

Connectivity of co-changed method groups: a case study on open source systems.
Proceedings of the Center for Advanced Studies on Collaborative Research, 2012

2011
An Empirical Study of the Impacts of Clones in Software Maintenance.
Proceedings of the 19th IEEE International Conference on Program Comprehension, 2011


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