Software Engineering Laboratory, Department of Computer Science, Graduate School of Information Science and Technology, Osaka University International
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1 International Symposium on Software Metrics 2004/12/14
2 [1] [1] R.G. Reynolds and E. Zannoni: Metrics, Encyclopedia of Software Engineering, Wiley- Interscience (1994). 2004/12/14 metrics Number( ) Scale( ) Attribute( ) Model( ) N. E. Fenton, Software Metrics: A Rigorous Approach, Chanpman & Hall, /12/14
3 A number derived from a product, process or resource 2004/12/14 A scale of measurement : D. Lawson and G. Coleman: Investigating software measures to improve product reliability, Proc.of the 2002 ACM symposium on Applied computing, pp (2002). 2004/12/14
4 ratio scale interval scale ordinal scale nominal scale 2004/12/14 An identifiable attribute 2004/12/14
5 : A theoretical or data driven model describing a dependent variable as a function of independent variables, with the intention that the model is used for prediction purposes COCOMO b E = a( Size) d D = ce 2004/12/14 (product) (resource) (process) 2004/12/14
6 2004/12/14 (1) 2004/12/14
7 LOC Software Science by Halstead (operator) (operand) Span 2004/12/14 C&K 2004/12/14
8 2004/12/14 GQM 2004/12/14
9 GQM V. R. Basili GQM Web V. R. Basili and D. M. Weiss: A methodology for collecting valid software engineering data, IEEE Transactions on Software Engineering, Vol.SE-10, No.6, pp , /12/ /12/14
10 GQM Goal Goal Question Question Question Question Question Metric Metric Metric Metric Metric Metric 2004/12/14 GQM Goal Question Metric 2004/12/14
11 Goal 2004/12/14 Question Goal 2004/12/14
12 Metric Question 2004/12/14 GQM 1. Goal 2. Question 3. Metric /12/14
13 Goal A 2004/12/14 Goal B 2004/12/14
14 Goal 2004/12/14 Question 2004/12/14
15 Metric GQM Question GQM 2004/12/14 International Symposium on Software Metrics(METRICS) IEEE-CS TCSE (2004) ICSE, ISSRE, ICSM, ASMA 2004/12/14
16 1993 (1) Case studies Reuse, Measurement program Code and maintenance metrics OOmetrics Metrics framework Future directions Reuse, Dynamic comp (3) Theoretical foundations Experience report Object oriented metrics Empirical studies Software reliability Testing 2004/12/ (4) 1998(5) Process Improvement: Theory and Methodology Metrics Applied to Testing Application/Phase/Para digm Specific Measurement Uses of Software Measurement Architectural Metrics Code clone Software Process Improvement CMM, PSP Error Models and Measures Web-based review Object-Oriented Measures Coupling, cohesion, FP Program Management Measures Formal Models Testing Measures Inferring change effort 2004/12/14
17 1999 (6) 2001 (7) Setting up Software Measurement Programs Studies of Object-Oriented Systems Project Management FP Novel Measurement Approaches Data Analysis Methods Maintenance Studies COTS Studies Technology Evaluation Clone, Inspection Ethics Software Effort and Cost Software Inspections Software Projects Software Modules Testing Maintenance and Evolution Software Measurement Infrastructure Object-Oriented Systems and COTS Industrial Application and Experiences Prediction 2004/12/ (8) 2003(9) Software Project Prediction Measurement for Object-Oriented Systems Maintenance and Evolution Software Inspections Web and Network Technology Models and Abstractions Fault Prediction Methodological Issues Web Development Design Patterns Estimation V & V New Metrics Measurement Frameworks Empirical Research Management Prediction Maintenance 2004/12/14
18 2004 9/14-16(Chicago) General Chair: Prof. Linda Ott, Michigan Technological University Program Chairs: Prof. Martin Shepperd, Bournemouth University Dr. Audris Mockus, Avaya Labs Research 50% (36/71) Late Breaking Papers 2004/12/14 Studies of Maintenance and Evolution Theory and Measurement Component-based Software Engineering Data Analysis Methods Advances in Empirical Software Engineering Project Management Empirical Studies of Inspections Software Size Measurement Assessment Effort Prediction for Web Development Defect analysis 2004/12/14
19 Open Source Software Development: A Case Study of FreeBSD Trung Dinh-Trong, James M. Bieman (Apach, Mozilla ) (10 20 ) contributer etc. Core team member CVS, , Bug report 2004/12/14 Applying Function Point to Unified Modeling Language: Conversion Model and Pilot Study G. Cantone, D. Pace, G. Calavaro UML FP CFPS 61 vs /12/14
20 A Controlled Experiment for Evaluating a Metric-Based Reading Technique for Requirements Inspection B. Bernárdez, M. Genero, A. Durán, M. Toro Metric-based reading ( ) GQM Analyze: MBR, Purpose: Wrt.:, Viewpoint Context: ( / ) MBR > CBR ( / MBR=CBR 2004/12/14 (1) Empirically Evolving Software Engineering Techniques by Victor R. Basili Improvement paradigm GQM paradigm Experience factory 2004/12/14
21 ( ) Systematic Reviews by Barbara Kitchenham 2004/12/14 Inspection Object-oriented metrics Size measurement Maintenance Project management Validity 2004/12/14
22 Now We are Ten: Our 10th Symposium James Bieman, Lionel Briand, Jyrki Kontio, Marvin Zelkowitz Validation ISESE 2004/12/14 ISESE2004 Software Changes and Evolution Software Testing Programming Practices Defect Management Infrastructure and Tool Support for Empirical Studies Cost Estimation Software Requirements Predictive Models Reading Techniques for Inspections Empirical Studies Methodology 2004/12/14
23 METRICS September, 2005, Como, Italy General Chair Sandro Morasca, Università degli Studi dell'insubria Program Chairs Filippo Lanubile, University of Bari Carolyn Seaman, University of Maryland Baltimore County Abstract: Feb. 23, 2005 Paper: March 15, 2005 ) (ISESE April 5) (1/3 PC 2004/12/14 faulty fault-proneness FP 2004/12/14
24 Fallacy on measurement (1) - You can t manage what you can t measure. - (SEL) 7-9% 3% 4-6% ) Robert L. Glass: Facts and Fallacies of Software Engineering, Addison Wesley (2002). 2004/12/14 Fallacy on measurement (2) - You can t manage what you can t measure. top10 bottom5 Top10 (61%) Bottom5 (24%) (22%) (55%) (52%) (20%) (50%) (16%) / (10%) (42%) / (40%) (37%) (32%) (31%) (31%) 2004/12/14
25 Fallacy on measurement (3) - You can t manage what you can t measure. - You can t control what you can t measure. Management (planning, organizing, staffing, directing, controlling) Controling. 2004/12/14 Basic software measurement set D. Card: Measuring Software Design Quality, Prentice Hall(1990). 2004/12/14
26 GQM 2004/12/14 EPM (2004). (2000). Encyclopedia of Software Engineering, Wiley-Interscience (1994). N. E. Fenton, Software Metrics: A Rigorous Approach, Chanpman & Hall(1991). Proceedings of International Symposium on Software Metrics (METRICS), IEEE Computer Society Press. D. Card: Measuring Software Design Quality, Prentice- Hall(1990). Robert L. Glass: Facts and Fallacies of Software Engineering, Addison Wesley (2002). 2004/12/14
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