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Janne Ropponen

dblp:52/3275 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2009
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 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 · 77% Empirical software engineering · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design
risk management
0.012000
Components of Software Development Risk: How to Address Them? A Project Manager Survey · IEEE Trans. Software Eng. 2000

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

principal component analysis · 0.0ANOVA · 0.0
YearPublicationVenuePosition
2009 Joint threat assessment with asset profiling and entity Bayes net
Timo Lampinen, Tommi Laitinen, Janne Ropponen
FUSION3
2000 Components of Software Development Risk: How to Address Them? A Project Manager Survey
abstract
Software risk management can be defined as an attempt to formalize risk oriented correlates of development success into a readily applicable set of principles and practices. By using a survey instrument we investigate this claim further. The investigation addresses the following questions: 1) What are the components of software development risk? 2) how does risk management mitigate risk components, and 3) what environmental factors if any influence them? Using principal component analysis we identify six software risk components: 1) scheduling and timing risks, 2) functionality risks, 3) subcontracting risks, 4) requirements management, 5) resource usage and performance risks, and 6) personnel management risks. By using one-way ANOVA with multiple comparisons we examine how risk management (or the lack of it) and environmental factors (such as development methods, manager's experience) influence each risk component. The analysis shows that awareness of the importance of risk management and systematic practices to manage risks have an effect on scheduling risks, requirements management risks, and personnel management risks. Environmental contingencies were observed to affect all risk components. This suggests that software risks can be best managed by combining specific risk management considerations with a detailed understanding of the environmental context and with sound managerial practices, such as relying on experienced and well-educated project managers and launching correctly sized projects.
Janne Ropponen, Kalle Lyytinen
IEEE Trans. Software Eng.1