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Katsumi Inagaki

dblp:74/5624 · DBLP profile ↗
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2ranked-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 · 2

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 · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Empirical software engineering
software effort estimation
0.011998
Analyzing Effects of Cost Estimation Accuracy on Quality and Productivity · ICSE 1998
Empirical software engineering › software economics
software productivity
0.011998
Analyzing Effects of Cost Estimation Accuracy on Quality and Productivity · ICSE 1998

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

statistical hypothesis testing · 0.0correlation analysis · 0.0
YearPublicationVenuePosition
2000 Statistical analysis of deviation of actual cost from estimated cost using actual project data
Osamu Mizuno, Tohru Kikuno, Katsumi Inagaki, Yasunari Takagi, Keishi Sakamoto
Inf. Softw. Technol.3
1998 Analyzing Effects of Cost Estimation Accuracy on Quality and Productivity
abstract
This paper discusses the effects of estimation accuracy for software development cost on both the quality of the delivered code and the productivity of the development team. The estimation accuracy is measured by metric RE (relative error). The quality and productivity are measured by metrics FQ (field quality) and TP (team productivity). Using actual project data on thirty-one projects at a certain company, the following are verified by correlation analysis and testing of statistical hypotheses. There is a high correlation between the faithfulness of the development plan to standards and the value of RE (a coefficient of correlation between them is -0.60). Both FQ and TP are significantly different between projects with -10%<RE<+10% and projects with RE/spl ges/+10% (the level of significance is chosen as 0.05).
Osamu Mizuno, Tohru Kikuno, Katsumi Inagaki, Yasunari Takagi, Keishi Sakamoto
ICSE3