CMSC 735

A Quantitative Approach to Software Management and Engineering

Spring 2006

Professor Victor R. Basili

Tuesday and Thursday 11:00 am - 12:15 pm

Room 3120, Computer Science Instructional Center

Office Hours: Tuesday and Thursday 10:00 - 11:00 am, and by appointment

Office Location: 4111 A.V. Williams Building

Email: basili@cs.umd.edu

Class Schedule (PDF) *updated 3/29*  | Textbooks | Assignments | Slides

Textbooks

• Experimental and Quasi-Experimental Designs for Research by Donald Campbell and Julian Stanley (1966), ISBN: 0395307872.

• The Goal/Question/Metric Method: A Practical Guide for Quality Improvement of Software Development by Rini van Solingen and Egon Berghout (1999), ISBN: 0077095537.

• Experimentation in Software Engineering: An Introduction, C. Wohlin, P. Runeson,  M. Höst, M.C. Ohlsson, B. Regnell,  A. Wesslén, Springer: International Series in Software Engineering, Vol. 6 (2000), ISBN: 0792386825. 

Assignments

Clicking on an assignment listed here will open a PDF file with the assignment details.

•  Assignment 2: Due March 3, 2006
•  Assignment 3: Due March 17, 2006
•  Assignment 4: Due April 4, 2006
•  Assignment 4: Papers
•  Assignment 4: Background Form
•  Assignment 4: Information Extraction Technique
•  Assignment 4: Paper about the Information Extraction Technique
•  Assignment 5
•  Assignment 6

Slides

Clicking on a lecture title will open a PDF file with the relevant slides.

•  Introduction
•  Resource Models and Metrics
•  Building a Local Resource Model
•  Building a General Resource Model (updated Feb. 10)
•  Change and Defect Models and Metrics
•  Product Models and Metrics (updated Feb. 24)
•  Process Models and Metrics
•  Measurement Frameworks (updated Mar. 8)
•  Organizational Frameworks (updated Mar. 13)
•  The Software Engineering Laboratory (SEL) (updated Mar. 17)
•  Building Knowledge about Defects
•  Experimentation in Software Engineering
•  The Unified Model of Dependability
•  Experimentation in Software Engineering: Reading Studies II
•  Using Qualitative Methods in Software Engineering (updated May 5)
•  Building Knowledge through Empirical Studies
•  Empirical Research in Computer Science
•  Empirical Software Engineering Research at UMD