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[1]  Modelling the Likelihood of Software Process Improvement: An Exploratory Study
Authors: Khaled El-Emam
Reference: Empirical Software Engineering 6(3)
Page(s): 207-229
Date/Year: Sep 2001
Software process assessments have become big business worldwide. They can be a powerful tool for initiating and sustaining software process improvement (SPI). However, SPI programs sometimes fail. Moreover there still are very few systematic empirical investigations about the conditions under which SPI initiatives vary in their outcomes. In this paper we present the results of a study of factors that influence the success of SPI. The data come from a sample survey of organizations that have performed assessments based on the capability maturity model for software, and was conducted from 1 to 3 years after the assessments (sufficient time had passed for changes to have taken place).

[2]  Identifying software productivity improvement approaches and risks: construction industry case study
Authors: Hantos, P.; Gisbert, M.
Reference: IEEE Software , Volume: 17 Issue: 1
Page(s): 48-56
Date/Year: Jan.-Feb. 2000
Using a popular training video from the construction industry, the authors identify ways to overcome cultural, institutional, and implementation barriers to software process improvement.

[3]  Establishment of a national benchmark of software engineering practices
Authors: Wang, Y.; Wickberg, H.; Dorling, A.; Kaartinen, M.
Reference: Software Engineering Standards, 1999. Proceedings. Fourth IEEE International Symposium and Forum on
Page(s): 16-24
Date/Year: 1999
Software engineering process benchmarking is one of the important methodologies in software process assessment and improvement. In collaboration with IBM, IVF has conducted a Swedish national benchmarking survey to derive a national benchmark of software engineering practices in the Swedish software industry. This paper describes the design of the survey and the derivation of the national benchmark of software engineering practices.

[4]  Experience in comparative process assessment with multi-process-models
Authors: Wang, Y.; Dorling, A.; Wickberg, H.; King, G.
Reference: EUROMICRO Conference, 1999. Proceedings. 25th , Volume: 2
Page(s): 268-273 vol.2
Date/Year: 1999
For software process assessment and improvement, two of the top frequently-asked-questions in the software industry are that: (a) what is the interrelationships between current process models? and (b) how can a given capability level in one model be related to another objectively? This paper reports the findings of a comparative process assessment case study project for a software organisation using SPICE, CMM, BOOTSTRAP, ISO 9000 and SPRM methodologies.

[5]  European and American software process maturity models and assessments (tutorial)
Authors: Marilyn W. Bush
Reference: Proceedings of the 19th international conference on Software engineering
Page(s): 671-672
Date/Year: May 1997
This half-day tutorial focuses on the relation between Software Process Improvement (SPr) programs and process assessments.

[6]  A software assessment process for small software enterprises
Authors: Grunbacher, P.
Reference: EUROMICRO 97. New Frontiers of Information Technology., Proceedings of the 23rd EUROMICRO Conference
Page(s): 123-128
Date/Year: 1997
This paper reports on the experiences of an assessment and improvement process in a small software company. The process is based on an initial self-evaluation and following structured interviews in the company. A first application of the approach has revealed very promising results.

[7]  Quantitative analysis of compatibility and correlation of the current SPA/SPI models
Authors: Wang, Y.; Court, I.; Ross, M.; Staples, G.; King, G.; Dorling, A.
Reference: Software Engineering Standards Symposium and Forum, 1997. Emerging International Standards. ISESS 97., Third IEEE International
Page(s): 36-55
Date/Year: 1997
It is a fundamental requirement to quantitatively analyze the compatibility and correlation between the current models for software process assessment (SPA) and improvement (SPI). The compatibility and correlation of SPA/SPI models (e.g., SPICE, CMM, ISO 9000, BOOTSTRAP and SPRM) are formally and quantitatively analyzed and contrasted in this paper.

[8]  Quantitative evaluation of the SPICE, CMM, ISO 9000 and BOOTSTRAP
Authors: Wang, Y.; Court, I.; Ross, M.; Staples, G.; King, G.; Dorling, A.
Reference: Software Engineering Standards Symposium and Forum, 1997. Emerging International Standards. ISESS 97., Third IEEE International
Page(s): 57-68
Date/Year: 1997
This paper comparatively analyses the current models for software process assessment and improvement (SPA/SPI) e.g., SPICE, CMM, ISO 9000 and BOOTSTRAP. The configuration of the sample spaces and the partially overlapped fundamental process activities defined in the four models are quantitatively analysed and contrasted.

[9]  Modeling and improving an industrial software process
Authors: Bandinelli, S.; Fuggetta, A.; Lavazza, L.; Loi, M.; Picco, G.P.
Reference: Software Engineering, IEEE Transactions on , Volume: 21 Issue: 5
Page(s): 440-454
Date/Year: May 1995
The paper discusses the problems that a software development organization must address in order to assess and improve its software processes. In particular, the authors are involved in a project aiming at assessing and improving the current practice and the quality manual of the Business Unit Telecommunications for Defense (BUTD) of a large telecommunications company. The paper reports on the usage of formal process modeling languages to detect inconsistencies, ambiguities, incompleteness, and opportunities for improvement of both the software process and its documentation.

Displaying 1-9 of 9 [Top list]


The bibliography database contains about 760 entries ranging from 1996 to 2008. These are the results of a meticulous research on IEEE, ACM and Kluwer Online databases. You can use the [Perform a search] link to browse through our database. Instructors can also submit new entries using the [Add to the bibliography] link.

New categories could also be suggested by contacting us: pierre-n.robillard@polymtl.ca.