Authors:
Luigi Lavazza
1
;
Enrico Frumento
2
and
Riccardo Mazza
3
Affiliations:
1
CEFRIEL and Università degli Studi dell’Insubria, Italy
;
2
CEFRIEL, Italy
;
3
WIND, Italy
Keyword(s):
Software Measurement Process, Goal/Question/Metrics, GQM, Key Performance Indicators, KPI, Success Indicators.
Related
Ontology
Subjects/Areas/Topics:
Project Planning, Monitoring and Control
;
Software Engineering
;
Software Metrics
;
Software Project Management
Abstract:
KPI (Key Process Indicators) and success indicators are often defined in a rather generic and imprecise
manner. This happens because they are defined very early in the project’s life, when little details about the
project are known, or simply because the definition does not follow a systematic and effective methodology.
We need to precisely define KPI and project success indicators, guarantee that the data upon which they are
based can be effectively and efficiently measured, and assure that the computed indicators are adequate with
respect to project objectives, and represent the viewpoints of all the involved stakeholders. A complete and
coherent process for managing KPI and success indicators lifecycle –instrumented with specific techniques
and tools, including the Goal/Question/Metrics (GQM) method for the definition of measures and the R
statistic language and environment for analyzing data and computing indicators– was applied in the
evaluation of the European research project
MUSES. The MUSES case study shows that the proposed
process provides an easy and well supported path to the definition and implementation of effective KPI and
project success indicators.
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