Model Clash Analysis
Lead Personnel: Mohammed Al-Said
Objectives: Develop principles and techniques
that project personnel can use to identify, analyze, avoid, or
cope with clashes among their project's process, product, property,
and success models.
Approach: Characterize model clashes as incompatibilities
among the assumptions made by a project's process, product, property,
and success models. Identify and analyze assumption incompatibilities
among widely used models, for example:
- Sequential waterfall process model assumption: The project’s
requirements are developed first and define the capabilities
of the delivered product.
- COTS-based product model assumption: The capabilities provided
by the selected COTS vendors provide the de facto definition
of those aspects of the project's requirements.
Organize common assumption incompatibilities into tables enabling
project personnel to identify their project's most likely model
clashes. Identify or develop techniques for avoiding or coping
with the model clashes. Analyze model clash data from failed software,
projects and the e-services projects; experience base to identify
most-frequent and highest-risk model clashes. Develop a web-based
tool to help project personnel identify, analyze, avoid, or cope
with model clashes.
- B. Boehm and D. Port, "Escaping the Software Tar Pit:
Model Clashes and How to Avoid Them," ACM Software Engineering
Notes, January 1999, pp. 36-48.
- B. Boehm and D. Port, "When Models Collide: Lessons
from Software Systems Analysis," IEEE IT Professional,
Jan/Feb. 1999, pp. 49-56.
- B. Boehm, D. Port, and M. Al-Said, "Avoiding the Model
Clash Spiderweb," IEEE Computer, November 2000, pp.
- M. Al-Said, "Value Model-Clash Analysis," USC-CSE
Annual Research Review Presentation, March 2003.
- M. Al-Said, Ph.D. Dissertation, Identifying, Analyzing, and
Avoiding Software Model Clashes, USC CS Department, 2003 (to
Incorporate model clash results into MBASE Guidelines.
Extend model clash analysis to other data sources such as the DOD Tri-Service
Assessment Initiative database.