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Thomas Fussbroich

dblp:87/4007 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 1998
—ORCID · none

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

Software engineering, systems software and programming languages · 1

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
Software maintenance and evolution · 56% Requirements engineering and software design · 44%

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

TopicWeightPapersLastEvidence papers
Software maintenance and evolution
software inspection
0.011998
Using Simulation to Build Inspection Efficiency Benchmarks for Development Projects · ICSE 1998
Requirements engineering and software design › software process
software process simulation
0.011998
Using Simulation to Build Inspection Efficiency Benchmarks for Development Projects · ICSE 1998
Software maintenance and evolution
software quality assurance
0.011998
Using Simulation to Build Inspection Efficiency Benchmarks for Development Projects · ICSE 1998

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

simulation · 0.0benchmarking · 0.0
YearPublicationVenuePosition
1998 Using Simulation to Build Inspection Efficiency Benchmarks for Development Projects
abstract
It is difficult for organizations introducing and using software inspections to evaluate how efficient they are. However, it is of practical importance to determine whether they have been efficiently implemented or whether further corrective actions are necessary to bring them up to standard. We present in this paper a procedure for building inspection efficiency benchmarks based on simulation and typical inspection data. Based on most of the data published in the literature, we build an industry-wide benchmark which intends to capture the current practice regarding inspection efficiency. This benchmark construction procedure can also be used to build enterprise specific benchmarks. Last, we assess how robust we can expect them to be by distorting their input distributions to reflect violations of the assumptions made.
Lionel C. Briand, Khaled El Emam, Oliver Laitenberger, Thomas Fussbroich
ICSE4