D-Index & Metrics Best Publications
Massimiliano Di Penta

Massimiliano Di Penta

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 66 Citations 13,105 174 World Ranking 1091 National Ranking 16

Overview

What is he best known for?

The fields of study he is best known for:

  • Software
  • Operating system
  • Programming language

Massimiliano Di Penta focuses on Software, Empirical research, Code smell, World Wide Web and Code refactoring. His Software research is multidisciplinary, incorporating elements of Genetic algorithm, Software engineering and Source code. His Source code study also includes

  • Java together with Code and Software development,
  • Software system which connect with Unified Modeling Language.

His Code smell research is multidisciplinary, incorporating perspectives in Code, Reliability engineering and Class. His World Wide Web study combines topics from a wide range of disciplines, such as Software bug and Android. His work investigates the relationship between Code refactoring and topics such as Software quality that intersect with problems in Object-oriented programming, Design pattern and Context.

His most cited work include:

  • An approach for QoS-aware service composition based on genetic algorithms (828 citations)
  • A framework for QoS-aware binding and re-binding of composite web services (284 citations)
  • Is it a bug or an enhancement?: a text-based approach to classify change requests (275 citations)

What are the main themes of his work throughout his whole career to date?

Massimiliano Di Penta mainly focuses on Software, Software engineering, Source code, World Wide Web and Empirical research. His Software research includes elements of Java, Task, Data mining and Artificial intelligence. His studies deal with areas such as Software maintenance, Software development, Software evolution, Software system and Software construction as well as Software engineering.

His research in Source code intersects with topics in Identifier, Program comprehension, Information retrieval and Static program analysis. His work on Recommender system as part of general World Wide Web research is frequently linked to Electronic mail, thereby connecting diverse disciplines of science. His study in Code refactoring and Code smell are all subfields of Programming language.

He most often published in these fields:

  • Software (30.54%)
  • Software engineering (30.05%)
  • Source code (27.59%)

What were the highlights of his more recent work (between 2014-2019)?

  • Software (30.54%)
  • World Wide Web (19.21%)
  • Source code (27.59%)

In recent papers he was focusing on the following fields of study:

His primary areas of study are Software, World Wide Web, Source code, Empirical research and Software engineering. His Software research is multidisciplinary, relying on both Java, Exploit, Artificial intelligence and Identification. His research integrates issues of Open source and Software development in his study of World Wide Web.

His study in Source code is interdisciplinary in nature, drawing from both Documentation, Information retrieval, Use case, Requirements analysis and Natural language. His Software engineering research incorporates themes from Software system, Code review, Reverse engineering and KPI-driven code analysis. His research in the fields of Software evolution and Software maintenance overlaps with other disciplines such as Requirements traceability and Energy consumption.

Between 2014 and 2019, his most popular works were:

  • Mining Version Histories for Detecting Code Smells (153 citations)
  • Release planning of mobile apps based on user reviews (147 citations)
  • When and why your code starts to smell bad (145 citations)

In his most recent research, the most cited papers focused on:

  • Software
  • Operating system
  • Programming language

Massimiliano Di Penta spends much of his time researching Software, Code smell, Source code, World Wide Web and Code refactoring. His Software study combines topics in areas such as Java and Software engineering. Massimiliano Di Penta has included themes like Software evolution, Reliability engineering, Test code and Identification in his Code smell study.

His work carried out in the field of Source code brings together such families of science as Documentation and Heuristics. In general World Wide Web study, his work on Mobile apps often relates to the realm of Electronic mail, thereby connecting several areas of interest. His studies deal with areas such as Code, Object, Software quality and Technical debt as well as Code refactoring.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

An approach for QoS-aware service composition based on genetic algorithms

Gerardo Canfora;Massimiliano Di Penta;Raffaele Esposito;Maria Luisa Villani.
genetic and evolutionary computation conference (2005)

1267 Citations

Is it a bug or an enhancement?: a text-based approach to classify change requests

Giuliano Antoniol;Kamel Ayari;Massimiliano Di Penta;Foutse Khomh.
conference of the centre for advanced studies on collaborative research (2008)

420 Citations

A framework for QoS-aware binding and re-binding of composite web services

Gerardo Canfora;Massimiliano Di Penta;Raffaele Esposito;Maria Luisa Villani.
Journal of Systems and Software (2008)

410 Citations

An exploratory study of the impact of antipatterns on class change- and fault-proneness

Foutse Khomh;Massimiliano Di Penta;Yann-Gaël Guéhéneuc;Giuliano Antoniol.
Empirical Software Engineering (2012)

356 Citations

An Exploratory Study of the Impact of Code Smells on Software Change-proneness

Foutse Khomh;Massimiliano Di Penta;Yann-Gael Gueheneuc.
working conference on reverse engineering (2009)

317 Citations

Service-Oriented Architectures Testing: A Survey

Gerardo Canfora;Massimiliano Penta.
Software Engineering (2009)

297 Citations

API change and fault proneness: a threat to the success of Android apps

Mario Linares-Vásquez;Gabriele Bavota;Carlos Bernal-Cárdenas;Massimiliano Di Penta.
foundations of software engineering (2013)

279 Citations

When and why your code starts to smell bad

Michele Tufano;Fabio Palomba;Gabriele Bavota;Rocco Oliveto.
international conference on software engineering (2015)

259 Citations

Mining energy-greedy API usage patterns in Android apps: an empirical study

Mario Linares-Vásquez;Gabriele Bavota;Carlos Bernal-Cárdenas;Rocco Oliveto.
mining software repositories (2014)

240 Citations

An empirical study on the maintenance of source code clones

Suresh Thummalapenta;Luigi Cerulo;Lerina Aversano;Massimiliano Di Penta.
Empirical Software Engineering (2010)

238 Citations

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