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Alexy Olkov

dblp:03/1574 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—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
Requirements engineering and software design · 100%

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

TopicWeightPapersLastEvidence papers
Requirements engineering and software design › requirements management
requirements prioritization
0.112008
Using Simulation to Investigate Requirements Prioritization Strategies · ASE 2008
Requirements engineering and software design › software process
software process simulation
0.012008
Using Simulation to Investigate Requirements Prioritization Strategies · ASE 2008

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

simulation · 0.1empirical study · 0.1
YearPublicationVenuePosition
2008 Using Simulation to Investigate Requirements Prioritization Strategies
abstract
Agile and traditional plan-based approaches to software system development both agree that prioritizing requirements is an essential activity. They differ in basic strategy - when to prioritize, to what degree, and how to guide implementation. As with many software engineering methods, verifying the benefit of following a particular approach is a challenge. Industry and student/classroom based experimental studies are generally impractical to use for large numbers of controlled experiments and benefits are difficult to measure directly. We use simulation to validate the fundamental, yet typically intangible benefits of requirements prioritization strategies. Our simulation is directly based on detailed empirical studies of agile and plan-based requirements management studies. Our simulation shows, as many have claimed, that an agile strategy excels when requirements are highly volatile, whereas a plan-based strategy excels when requirements are stable, and that there exist mixed strategies that are better than either for typical development efforts.
Daniel Port, Alexy Olkov, Tim Menzies
ASE2