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Displaying 1-17 of 17 [Bottom list]
[1]  Vector-Based Method for Measuring and Comparing Software requirements Implementation
Authors: Dulipovici, M., Robillard, P.N.
Reference: Fifth IASTED International conference, Puerto Vallarta, Mexico
Page(s): x-x
Date/Year: Jan. 2006
None available.

[2]  Measuring software Process Activities in Student Settings
Authors: Germain E., Dulipovici M., Robillard P.N.
Reference: Proceedings of the Second ASERC Workshop on Quantitative and Soft Computing based Software Engineering, Banff, Canada
Page(s): 41-49
Date/Year: Feb. 2002
None available.

[3]  The use of software quality metrics in the materiel release process experience report
Authors: Saboe, M.
Reference: Quality Software, 2001. Proceedings.Second Asia-Pacific Conference on
Page(s): 104-109
Date/Year: 2001
Présentation de NextGen, une activité de support pour valider et vérifier le fonctionnement d’un logiciel pour les chars d’assauts. Présentation de l’outil permettant de vérifier aussi l’avancement du projet logiciel (Ada)

[4]  Software product metrics
Authors: Li, W.
Reference: IEEE Potentials , Volume: 18 Issue: 5
Page(s): 24-27
Date/Year: Dec. 1999-Jan. 2000
Research has been done in the area of predicting software maintenance effort from software metrics. In general, software metrics can be classified into two categories: software product metrics and software process metrics. Software product metrics are measures of software products such as source code and design documents. Software process metrics are measures of software development process.

[5]  A targeted assessment of the software measurement process
Authors: Berry, M.; Vandenbroek, M.F.
Reference: Software Metrics Symposium, 2001. METRICS 2001. Proceedings. Seventh International
Page(s): 222-235
Date/Year: 2000
Essai d’application d’un framework (meta-mesurement programme) d’évaluation et l’amélioration de processus.

[6]  Empirical investigation of a novel approach to check the integrity of software engineering measuring processes
Authors: Skylar Lei; Smith, M.; Succi, G.
Reference: Software Engineering, 2000. Proceedings of the 2000 International Conference on
Page(s): 773
Date/Year: 2000
We present an empirical investigation of the applicability of Benford's Law (1958) and Digital Statistics (Nigrine, 1995) in the context of software engineering metrics analysis and process validation

[7]  Process-Oriented Metrics for Software Architecture Adaptability
Authors: Chung, L.; Subramanian, N.
Reference: Requirements Engineering, 2001. Proceedings. Fifth IEEE International Symposium on
Page(s): 310-311
Date/Year: 2000
Proposition d’un modèle de métrique pour évaluer l’adaptabilité d’une architecture logicielle d’une façon numérique

[8]  Using product, process, and execution metrics to predict fault-prone software modules with classification trees
Authors: Khoshgoftaar, T.M.; Shan, R.; Allen, E.B.
Reference: High Assurance Systems Engineering, 2000, Fifth IEEE International Symposim on. HASE 2000
Page(s): 301-310
Date/Year: 2000
Based on software metrics, a model can predict which modules will be considered fault-prone, or not. We consider a module fault-prone if any faults were discovered by customers. With a diverse set of candidate predictors in hand, classification-tree modeling is a robust technique for building such software quality models. This paper presents an empirical case study of four releases of a very large telecommunications system.

[9]  A WWW based software metrics environment for software process management and software product quality improvement
Authors: Xiaoqing Frank Liu; Viswanathan, R.
Reference: Computer Software and Applications Conference, 1999. COMPSAC '99. Proceedings. The Twenty-Third Annual International
Page(s): 301-304
Date/Year: 1999
We describe a tool which takes advantage of emerging Internet technology to implement a software metrics environment for software process management and software quality improvement. The tool uses a dimensional analytic model to visualize the software development process.

[10]  OO software process improvement with metrics
Authors: Henderson-Sellers, B.
Reference: Software Metrics Symposium, 1999. Proceedings. Sixth International
Page(s): 2-8
Date/Year: 1999
In this paper, an integrated (management and technical) viewpoint is taken in which product and process metrics are examined in the context of a third-generation, full-lifecycle object-oriented (OO) process.

[11]  PSP metrics in support of software engineering education
Authors: Hilburn, T.B.
Reference: Software Engineering Education and Training, 1999. Proceedings. 12th Conference on
Page(s): 135-136
Date/Year: 1999
This paper describes a position about use of the personal software process (PSP) metrics (W.S. Humphrey, 1995). The position presented describes how and why PSP metrics can be used in teaching and learning about software engineering.

[12]  Software measurement process-standardization and application
Authors: McGarry, J.; Card, D.N.; Peasant, J.
Reference: Software Engineering Standards, 1999. Proceedings. Fourth IEEE International Symposium and Forum on
Page(s): 258-258
Date/Year: 1999
No Desc

[13]  Using process history to predict software quality
Authors: Khoshgoftaar, T.M.; Allen, E.B.; Halstead, R.; Trio, G.P.; Flass, R.M.
Reference: Computer , Volume: 31 Issue: 4
Page(s): 66-72
Date/Year: April 1998
Many software quality models use only software product metrics to predict module reliability. For evolving systems, however, software process measures are also important. In this case study, the authors use module history data to predict module reliability in a subsystem of JStars, a real time military system.

[14]  Some comments on the software measurement process
Authors: Munson, J.C.
Reference: Software Maintenance, 1998. Proceedings., International Conference on
Page(s): 71
Date/Year: 1998
Critique sur la mesure du logiciel (ou la non utilisation de)

[15]  Software process maturity : measuring its impact on productivity and quality
Authors: Howard A. Rubin
Reference: Proceedings of the 15th international conference on Software Engineering
Page(s): 468-476
Date/Year: May 1997
This paper documents an attempt to provide an empirical metrics “view” of such initiatives based on data collected in a worldwide benchmarking effort conducted between March, 1991 and December, 1991.

[16]  Evaluation and improvement of software products and processes based on measurement
Authors: Maurice, F.; Benzekri, A.; Raynaud, Y.
Reference: High-Assurance Systems Engineering Workshop, 1997., Proceedings
Page(s): 108-111
Date/Year: 1997
A methodology including the essential steps for any software measurement activity is described. Based on previous and original works, this methodology allows one to specify, verify and validate metrics. Related to a defined goal, metrics are specified using a formal notation and then verified. Validating predictive metrics is a crucial task for any goal aiming at improving software processes or products. +application

[17]  SPICE: an empiricist's perspective
Authors: Emam, K.E.; Goldenson, D.R.
Reference: Software Engineering Standards Symposium, 1995. (ISESS'95) 'Experience and Practice', Proceedings., Second IEEE International
Page(s): 84-97
Date/Year: 1995
This paper introduces the theoretical foundations for evaluating the reliability and validity of measurement, suggests some empirical research methods for investigating them in SPICE, and discusses the constraints and limitations of these methods within the context of the SPICE project.

Displaying 1-17 of 17 [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.