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Number of items: 10.
BBen Achour, C. and Ncube, C., 2000. Engineering the PORE Method for COTS Selection with the MAP Process Meta-Model. In: REFSQ'2000: 6th International Workshop on Requirements Engineering Foundations of Software Quality , 5-6 June 2000, Stockholm, Sweden. CCox, K. and Phalp, K. T., 2000. A Case Study Implementing the Unified Modeling Language Use Case Notation version 1.3. In: REFSQ'2000 - Sixth International Workshop on Requirements Engineering: Foundation for Software Quality, 5-6 June 2000, Stockholm, Sweden. Cox, K. and Phalp, K. T., 2000. Use Case Authoring: Replicating the CREWS Guidelines Experiment. In: EASE'2000 - 4th International Conference on Empirical Assessment and Evaluation in Software Engineering, 17-19 April 2000, Keele University, Staffordshire, UK. MMair, C., Kadoda, G., Phalp, K. T., Schofield, C., Shepperd, M. and Webster, S., 2000. Empirical Studies Applied to Software Process Models. Journal of Systems and Software, 53 (1), pp. 23-29. NNcube, C. and Maiden, N. A.M., 2000. COTS Software Selection: The Need to make Trade-offs Between Systems Requirements, Architectures and COTS/Components. In: 22nd International Conference on on Software Engineering (ICSE2000), 4-11 June 2000, Limerick ,Ireland. PPhalp, K. T. and Cox, K., 2000. Picking the Right Problem FrameāAn Empirical Study. Empirical Software Engineering, 5 (3), pp. 215-228. Phalp, K. T. and Cox, K., 2000. Replicating the CREWS Use Case Authoring Guidelines Experiment. Empirical Software Engineering, 5 (3), pp. 245-267. Phalp, K. T. and Shepperd, M., 2000. Quantitative analysis of static models of processes. Journal of Systems and Software, 52 (2-3), pp. 105-112. Phalp, K. T. and Cox, K., 2000. An Empirical Study of Problem Frame Selection. In: EASE'2000 - 4th International Conference on Empirical Assessment and Evaluation in Software Engineering, 17-19 April 2000, Keele University, Staffordshire, UK. Phalp, K. T. and Counsell, S. J., 2000. The application of metrics to industrial prototyping processes: An empirical study. In: Software Process Technology. Berlin / Heidelberg: Springer, pp. 239-248. |
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