Geoffrey Hecht

Orcid: 0000-0003-1052-9947

According to our database1, Geoffrey Hecht authored at least 17 papers between 2014 and 2021.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2021
A taxonomy of service identification approaches for legacy software systems modernization.
J. Syst. Softw., 2021

Optimization of Java Virtual Machine Flags using Feature Model and Genetic Algorithm.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

VR-Based User Interactions to Exploit Infinite Space in Programming Activities.
Proceedings of the 40th International Conference of the Chilean Computer Science Society, 2021

Quantifying the adoption of Kotlin on Android stores: Insight from the bytecode.
Proceedings of the 8th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2021

Quality Histories of Past Extract Method Refactorings.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020
Vision: alleviating Android developer burden on obfuscation.
Proceedings of the MOBILESoft '20: IEEE/ACM 7th International Conference on Mobile Software Engineering and Systems, 2020

2019
Static Code Analysis of Multilanguage Software Systems.
CoRR, 2019

2018
State of the Practice in Service Identification for SOA Migration in Industry.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

Codifying Hidden Dependencies in Legacy J2EE Applications.
Proceedings of the 25th Asia-Pacific Software Engineering Conference, 2018

2017
Investigating the energy impact of Android smells.
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

Code Smells in iOS Apps: How Do They Compare to Android?
Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017

2016
Détection et analyse de l'impact des défauts de code dans les applications mobiles. (Detection and analysis of impact of code smells in mobile applications).
PhD thesis, 2016

An empirical study of the performance impacts of Android code smells.
Proceedings of the International Conference on Mobile Software Engineering and Systems, 2016

2015
Tracking the Software Quality of Android Applications Along Their Evolution (T).
Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering, 2015

Detecting Antipatterns in Android Apps.
Proceedings of the 2nd ACM International Conference on Mobile Software Engineering and Systems, 2015

An Approach to Detect Android Antipatterns.
Proceedings of the 37th IEEE/ACM International Conference on Software Engineering, 2015

2014
An Empirical Study of the Impact of Cloud Patterns on Quality of Service (QoS).
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014


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