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Defining and validating high-level design metricsJune 1994
1994 Technical Report
Publisher:
  • University of Maryland at College Park
  • College Park, MD
  • United States
Published:01 June 1994
Pages:
31
Reflects downloads up to 16 Nov 2024Bibliometrics
Abstract

No abstract available.

Cited By

  1. Lee J, Kim D, Kim S and Park S (2016). Decomposing class responsibilities using distance-based method similarity, Frontiers of Computer Science: Selected Publications from Chinese Universities, 10:4, (612-630), Online publication date: 1-Aug-2016.
  2. Ahmed M, Abubakar A and AlGhamdi J (2011). A study on the uncertainty inherent in class cohesion measurements, Journal of Systems Architecture: the EUROMICRO Journal, 57:4, (474-484), Online publication date: 1-Apr-2011.
  3. ACM
    Suri P and Singh G (2010). DG-metrics formulization for DGML-based software design, ACM SIGSOFT Software Engineering Notes, 35:3, (1-8), Online publication date: 11-May-2010.
  4. Mäkelä S and Leppänen V (2018). Client-based cohesion metrics for Java programs, Science of Computer Programming, 74:5-6, (355-378), Online publication date: 1-Mar-2009.
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    Mäkelä S and Leppänen V A software metric for coherence of class roles in Java programs Proceedings of the 5th international symposium on Principles and practice of programming in Java, (51-60)
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    Mäkelä S and Leppänen V External views on class cohesion Proceedings of the 2007 international conference on Computer systems and technologies, (1-6)
  7. van der Poll J and Kotzé P What design heuristics may enhance the utility of a formal specification? Proceedings of the 2002 annual research conference of the South African institute of computer scientists and information technologists on Enablement through technology, (179-194)
  8. Younessi H, Zeephongsekul P and Bodhisuwan W (2019). A General Model of Unit Testing Efficacy, Software Quality Journal, 10:1, (69-92), Online publication date: 1-Jul-2002.
  9. Moses J, Farrow M and Smith P (2019). Statistical Methods for Predicting and Improving Cohesion Using Information Flow, Software Quality Journal, 10:1, (11-46), Online publication date: 1-Jul-2002.
  10. Briand L, Morasca S and Basili V (1999). Defining and Validating Measures for Object-Based High-Level Design, IEEE Transactions on Software Engineering, 25:5, (722-743), Online publication date: 1-Sep-1999.
  11. Briand L, Daly J and Wüst J (1999). A Unified Framework for Coupling Measurement in Object-Oriented Systems, IEEE Transactions on Software Engineering, 25:1, (91-121), Online publication date: 1-Jan-1999.
  12. Briand L, Daly J and Wüst J (1998). A Unified Framework for Cohesion Measurement in Object-OrientedSystems, Empirical Software Engineering, 3:1, (65-117), Online publication date: 1-Jul-1998.
  13. ACM
    Price M and Demurjian S (2019). Analyzing and measuring reusability in object-oriented design, ACM SIGPLAN Notices, 32:10, (22-33), Online publication date: 9-Oct-1997.
  14. ACM
    Price M and Demurjian S Analyzing and measuring reusability in object-oriented design Proceedings of the 12th ACM SIGPLAN conference on Object-oriented programming, systems, languages, and applications, (22-33)
  15. ACM
    Briand L, Devanbu P and Melo W An investigation into coupling measures for C++ Proceedings of the 19th international conference on Software engineering, (412-421)
  16. Harrison R, Briand L, Daly J, Kellner M, Raffo D and Shepperd M (1997). Process Modelling and Empirical Studies of Software Evolution(PMESSE‘97) Workshop Report, Empirical Software Engineering, 2:4, (381-403), Online publication date: 1-Apr-1997.
  17. Basili V, Briand L and Melo W (1996). A Validation of Object-Oriented Design Metrics as Quality Indicators, IEEE Transactions on Software Engineering, 22:10, (751-761), Online publication date: 1-Oct-1996.
  18. Briand L, Morasca S and Basili V (1996). Property-Based Software Engineering Measurement, IEEE Transactions on Software Engineering, 22:1, (68-86), Online publication date: 1-Jan-1996.
Contributors
  • University of Limerick
  • University of Insubria
  • University of Maryland, College Park

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  1. Defining and validating high-level design metrics
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