What is she best known for?
The fields of study she is best known for:
- Operating system
- Software
- Programming language
Her primary areas of study are Software, Test suite, Software system, Theoretical computer science and Simulated annealing.
Myra B. Cohen interconnects Greedy randomized adaptive search procedure and Test case in the investigation of issues within Software.
Her work carried out in the field of Test case brings together such families of science as Event, Reliability engineering, Software engineering and Graphical user interface testing.
The Test suite study combines topics in areas such as Algorithm, Model-based testing and Software quality.
Her studies in Software system integrate themes in fields like Software fault tolerance and All-pairs testing.
Her research integrates issues of System testing and Greedy algorithm in her study of Theoretical computer science.
Her most cited work include:
- An orchestrated survey of methodologies for automated software test case generation (388 citations)
- Constructing test suites for interaction testing (311 citations)
- Constructing Interaction Test Suites for Highly-Configurable Systems in the Presence of Constraints: A Greedy Approach (250 citations)
What are the main themes of her work throughout her whole career to date?
Her main research concerns Software, Software system, Test case, Software engineering and Test suite.
Her Software research includes elements of System testing, Real-time computing, Feature and Search algorithm.
Her Software system study also includes fields such as
- Greedy algorithm most often made with reference to Theoretical computer science,
- All-pairs testing that connect with fields like Mathematical optimization.
Her Test case study combines topics from a wide range of disciplines, such as Data mining, Graphical user interface, Test Management Approach, Graphical user interface testing and Regression testing.
Her Software engineering study integrates concerns from other disciplines, such as Software testing and Software reliability testing, Software construction.
Her work deals with themes such as Genetic algorithm, Test data generation and Algorithm, which intersect with Test suite.
She most often published in these fields:
- Software (31.62%)
- Software system (25.64%)
- Test case (20.51%)
What were the highlights of her more recent work (between 2018-2021)?
- Software engineering (19.66%)
- Software (31.62%)
- Software product line (8.55%)
In recent papers she was focusing on the following fields of study:
The scientist’s investigation covers issues in Software engineering, Software, Software product line, Software system and Software testing.
Her Software research is multidisciplinary, relying on both Virtual machine and World Wide Web, The Internet.
Her work in Software product line is not limited to one particular discipline; it also encompasses Domain engineering.
Software system is closely attributed to Evolutionary algorithm in her research.
Her Software testing research incorporates themes from System testing and Field.
Her System testing study deals with Oracle intersecting with Data-driven, Genetic algorithm and Mathematical optimization.
Between 2018 and 2021, her most popular works were:
- Metabolic feedback inhibition influences metabolite secretion by the human gut symbiont bacteroides thetaiotaomicron (2 citations)
- DNA as Features: Organic Software Product Lines (2 citations)
- The maturation of search-based software testing: successes and challenges (1 citations)
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