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Journal of Systems and Software
Article . 2010 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
DBLP
Article . 2021
Data sources: DBLP
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Software process improvement through the Lean Measurement (SPI-LEAM) method

Authors: Kai Petersen; Claes Wohlin;

Software process improvement through the Lean Measurement (SPI-LEAM) method

Abstract

Software process improvement methods help to continuously refine and adjust the software process to improve its performance (e.g., in terms of lead-time, quality of the software product, reduction of change requests, and so forth). Lean software development propagates two important principles that help process improvement, namely identification of waste in the process and considering interactions between the individual parts of the software process from an end-to-end perspective. A large shift of thinking about the own way of working is often required to adopt lean. One of the potential main sources of failure is to try to make a too large shift about the ways of working at once. Therefore, the change to lean has to be done in a continuous and incremental way. In response to this we propose a novel approach to bring together the quality improvement paradigm and lean software development practices, the approach being called Software Process Improvement through the Lean Measurement (SPI-LEAM) Method. The method allows to assess the performance of the development process and take continuous actions to arrive at a more lean software process over time. The method is under implementation in industry and an initial evaluation of the method has been performed.

Country
Sweden
Related Organizations
Keywords

Software Process Improvement, Programvaruteknik, Lean Software Development, Quality Improvement Paradigm, Software Engineering

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    50
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
50
Top 10%
Top 10%
Top 10%
Green
bronze