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PROMISE 2008 Bridging Industry and Research Gary D. Boetticher Tim Menzies Tom Ostrand Guenther Ruhe

Introduction Promise 2008 V3

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Page 1: Introduction Promise 2008 V3

PROMISE 2008

Bridging Industryand Research

Gary D. Boetticher Tim Menzies Tom Ostrand Guenther Ruhe

Page 2: Introduction Promise 2008 V3

PROMISE 2008

The 4th International Predictor Models in Software Engineering (PROMISE) Workshop

May 12, 2008

Theme: Bridging Industry & Research

Much more data added to the PROMISE Repository Special issue Empirical Software Engineering Workshop expanded to 2 days

2 Keynote speakers More opportunities for discussion More opportunities for collaboration

1 New Steering Committee Member: Guenther Ruhe 1 Fabulous Dinner

Page 3: Introduction Promise 2008 V3

Theme: Bridging Industry & Research

The 4th International Predictor Models in Software Engineering (PROMISE) Workshop

May 12, 2008

Industry perspective To what extent does industry embrace research findings and models? Why is it not more?

Is research relevant?  practical?  capable of application?  ultimately beneficial? Are industry folks uninformed? lazy? too busy? Is the ROI too low?

Research perspective Is SE research aligned with industry needs?

Does it need to be or is it just a ‘tenure’ thing? Is empirical research unrealistic?

Too specific? Too complex? Obsolete? How can models be validated?

Correlation? Yes!! Causal? Maybe

Page 4: Introduction Promise 2008 V3

PROMISE Repository 2007 to 2008

The 4th International Predictor Models in Software Engineering (PROMISE) Workshop

Others - 9

Effort Prediction - 9

Defect Prediction – 18Defect Prediction – 32

Effort Prediction - 10

Text Mining - 9

Model-Based SE - 5

General - 7

PROMISE Repository 2007 to 2008

May 12, 2008

Page 5: Introduction Promise 2008 V3

PROMISE 2008, May 12th AM

The 4th International Predictor Models in Software Engineering (PROMISE) Workshop

May 12, 2008

Keynote Risk and Relevance

Murray Cantor, Distinguished Engineer, IBM.

Papers: Defect Prediction Comparing Negative Binomial and Recursive Partitioning Models for Fault Prediction

Elaine Weyuker, Thomas Ostrand and Robert Bell: AT&T Labs-Research, USA

Comparing Design and Code Metrics for Software Quality PredictionYue Jiang, Bojan Cukic, Tim Menzies and Nick Bartlow: West Virginia University, USA

Adapting a Fault Prediction Model to Allow Inter Language Reuse Shinya Watanabe, Haruhiko Kaiya and Kenji Kaijiri: Shinshu University, Japan

Page 6: Introduction Promise 2008 V3

PROMISE 2008, May 12th PM

The 4th International Predictor Models in Software Engineering (PROMISE) Workshop

May 12, 2008

Discussion Can Organizations Really Use Predictions?

Chair: Tim Menzies: West Virginia University

Papers: Effort Estimation An Empirical Analysis of Software Effort Estimation with Outlier Elimination

Yeong-Seok Seo, Kyung-A Yoon and Doo-Hwan Bae: Korea Advanced Institute of Science and Technology, South Korea

Using Correlation and Accuracy for Identifying Good Estimators Gary Boetticher and Nazim Lokhandwala: University of Houston - Clear Lake, USA

Data Quality & Discussion Data Sets and Data Quality in Software Engineering

Gernot Liebchen and Martin Shepperd: Brunel University, UK

Page 7: Introduction Promise 2008 V3

PROMISE 2008, May 13th Early AM

The 4th International Predictor Models in Software Engineering (PROMISE) Workshop

May 12, 2008

Keynote Practical use of defect detection and prediction in the development and maintenance of

software Chris Beal Senior Staff Engineer, SUN Microsystems.

Paper: Predictor Issues Implications of Ceiling Effects in Defect Predictors

Tim Menzies, Burak Turhan, Ayse Bener, Gregory Gay, Bojan Cukic and Yue Jiang: West Virginia University, USA and Bogazici University, Turkey

Page 8: Introduction Promise 2008 V3

PROMISE 2008, May 13th Late AM

The 4th International Predictor Models in Software Engineering (PROMISE) Workshop

May 12, 2008

Papers: Effort Estimation Multi-criteria Decision Analysis for Customization of Estimation by Analogy Method

Jingzhou Li and Guenther Ruhe: University of Calgary, Canada

Confidence in Software Cost Estimation Results based on MMRE and PREDMarcel Korte and Daniel Port: University of Applied Sciences and Arts Dortmund, Germany and Univ. of Hawaii, USA

Improving Analogy Software Effort Estimation using Fuzzy Feature Subset Selection AlgorithmMoammad Azzeh, Daniel Neagu and Peter Cowling: University of Bradford, UK

Page 9: Introduction Promise 2008 V3

PROMISE 2008, May 13th PM

The 4th International Predictor Models in Software Engineering (PROMISE) Workshop

May 12, 2008

Papers: Resource Planning and Management Optimizing Requirements Decisions with KEYS

Omid Jalali, Tim Menzies and Martin Feather: West Virginia University, USA & JPL, USA

Complementing Approaches in ERP Effort Estimation Practice: an Industrial StudyMaya Daneva: University of Twente, Netherlands

Software Defect Repair Times: A Multiplicative ModelSwapna Gokhale and Robert Mullen: University of Connecticut and Cisco Systems, USA

Wrap-up Discussion What is PROMISE? What could PROMISE be? Should there be a PROMISE 2009? If so, What would it look like?

Page 10: Introduction Promise 2008 V3

Dinner: Auerbachs Keller

Page 11: Introduction Promise 2008 V3

Thanks!

Program Committee Steering Committee & Gregory Gay You! 12+ authors and 29+ attendees