What is he best known for?
The fields of study he is best known for:
- Software
- Programming language
- Software engineering
José Carlos Maldonado mostly deals with Mutation, Algorithm, Software engineering, Mutation testing and Programming language.
José Carlos Maldonado combines subjects such as Ranking, Statistics and Test case with his study of Mutation.
When carried out as part of a general Algorithm research project, his work on Petri net is frequently linked to work in Cost reduction, Protocol and Context, therefore connecting diverse disciplines of study.
In Software engineering, he works on issues like Knowledge transfer, which are connected to Tacit knowledge.
He performs multidisciplinary study in Mutation testing and Reliability engineering in his work.
As a part of the same scientific family, José Carlos Maldonado mostly works in the field of Programming language, focusing on Functional testing and, on occasion, Test strategy, System testing, Fault model, White-box testing and Manual testing.
His most cited work include:
- Replicating software engineering experiments: addressing the tacit knowledge problem (121 citations)
- Mutation analysis testing for finite state machines (118 citations)
- Toward the determination of sufficient mutant operators for C (115 citations)
What are the main themes of his work throughout his whole career to date?
José Carlos Maldonado spends much of his time researching Software engineering, Software development, Software, Software construction and Programming language.
His biological study spans a wide range of topics, including Software architecture description, Reference architecture, Systems engineering, Test strategy and System integration testing.
His research investigates the connection between Test strategy and topics such as Non-regression testing that intersect with issues in Manual testing, Keyword-driven testing, Reliability engineering and Integration testing.
His Software development study frequently draws connections between related disciplines such as Debugging.
His study on Software testing is often connected to Quality and Context as part of broader study in Software.
His work in the fields of Programming language, such as System testing, Algorithmic program debugging and Java bytecode, overlaps with other areas such as Mutation testing.
He most often published in these fields:
- Software engineering (39.13%)
- Software development (16.96%)
- Software (16.09%)
What were the highlights of his more recent work (between 2014-2021)?
- Software engineering (39.13%)
- Software (16.09%)
- Data mining (5.22%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Software engineering, Software, Data mining, Mutation testing and Systematic review.
The Software engineering study combines topics in areas such as Test strategy, Software development, System integration testing and Usability inspection.
His work on Software construction, Software peer review and Social software engineering as part of general Software development study is frequently linked to Training, therefore connecting diverse disciplines of science.
His study in the fields of Software testing under the domain of Software overlaps with other disciplines such as Context, Quality and Set.
Among his Mutation testing studies, there is a synthesis of other scientific areas such as Set, Mutation and Algorithm.
The Set study which covers Test suite that intersects with Program transformation, Programming language and Java.
Between 2014 and 2021, his most popular works were:
- Semi-automatic selection of primary studies in systematic literature reviews: is it reasonable? (21 citations)
- Avoiding useless mutants (16 citations)
- CS curricula of the most relevant universities in Brazil and abroad: Perspective of software testing education (10 citations)
In his most recent research, the most cited papers focused on:
- Software
- Programming language
- Software engineering
His scientific interests lie mostly in Mutation testing, Data mining, Quality, Software and Test suite.
His Data mining research integrates issues from Task, Set and Selection.
His work carried out in the field of Set brings together such families of science as Mutation operator, Fault model, Static analysis and Test set.
His study in Software is interdisciplinary in nature, drawing from both Software engineering and Usability.
José Carlos Maldonado has researched Software engineering in several fields, including Software project management, Software development, Engineering ethics and Body of knowledge.
He has included themes like Test data, Programming language, Java, Program transformation and Test script in his Test suite study.
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