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Reuben V. Nithi

dblp:55/6666 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 87% Requirements engineering and software design · 13%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering › software metrics
object-oriented metrics
0.011998
An Evaluation of the MOOD Set of Object-Oriented Software Metrics · IEEE Trans. Software Eng. 1998
Empirical software engineering
software metrics
0.011998
An Evaluation of the MOOD Set of Object-Oriented Software Metrics · IEEE Trans. Software Eng. 1998
Requirements engineering and software design › object-oriented analysis and design
object-oriented design
0.011998
An Evaluation of the MOOD Set of Object-Oriented Software Metrics · IEEE Trans. Software Eng. 1998

Methods — techniques the papers use, named apart from their topics

statistical analysis · 0.0empirical study · 0.0
YearPublicationVenuePosition
2000 Experimental assessment of the effect of inheritance on the maintainability of object-oriented systems
Rachel Harrison, Steve Counsell, Reuben V. Nithi
J. Syst. Softw.3
1998 An Investigation into the Applicability and Validity of Object-Oriented Design Metrics
Rachel Harrison, Steve Counsell, Reuben V. Nithi
Empir. Softw. Eng.3
1998 An Evaluation of the MOOD Set of Object-Oriented Software Metrics
abstract
This paper describes the results of an investigation into a set of metrics for object-oriented design, called the MOOD metrics. The merits of each of the six MOOD metrics is discussed from a measurement theory viewpoint, taking into account the recognized object-oriented features which they were intended to measure: encapsulation, inheritance, coupling, and polymorphism. Empirical data, collected from three different application domains, is then analyzed using the MOOD metrics, to support this theoretical validation. Results show that (with appropriate changes to remove existing problematic discontinuities) the metrics could be used to provide an overall assessment of a software system, which may be helpful to managers of software development projects. However, further empirical studies are needed before these results can be generalized.
Richard H. Carver, Steve Counsell, Reuben V. Nithi
IEEE Trans. Software Eng.3