17-754 Analysis of Software Artifacts Units: 12.0 Department: Software Engineering Special permission: Yes Cross-listed: 17-654 Related URLs: http://www-2.cs.cmu.edu/~aldrich/courses/654/ (This PhD course is cross-listed with the MSE course,17-654.) Analysis is the systematic examination of an artifact to determine its properties. This course will focus on analysis of software artifacts--primarily code, but also including analysis of designs, architectures, and test suites. We will focus on functional properties, but also cover non-functional properties like performance and security. In order to illustrate core analysis concepts in some depth, the course will center on static program analysis; however, the course will also include a breadth of techniques such as testing, model checking, theorem proving, dynamic analysis, and type systems. Concern for realistic and economical application of analysis will also be evident in a bias towards analyses that are scalable and incremental. The course emphasizes the fundamental similarities between analyses (in their mechanism and power) to teach the students the limitations and scope of the analyses, rather than the distinctions that arose historically (static vs. dynamic, code vs. spec). The course will balance theoretical discussions with lab exercises in which students will apply the ideas they are learning to real artifacts. After completing this course, students will: * know what kinds of analyses are available and how to use them * understand their scope and power, when they can be applied and what conclusions can be drawn from their results * have a grasp of fundamental notions sufficient to evaluate new kinds of analysis when they are developed * have some experience selecting and writing analyses for a real piece of software, applying them and interpreting the results In addition, Ph.D. students taking the 17-754 version of the course will gain a broad overview of the analysis research literature and in-depth knowledge of a particular sub-area through a course project.

Discuss this course  Textbook prices  View FCE Results  View FCE Results Prior to Fall 2004  Check Availability   Popularity index Rank for this semester: #786 Rank in this department: #7   Students also scheduled 17-672 Software Development Studio II 11-761 Language and Statistics 05-671 HCI Project 17-615 Software Process Definition 93-895 Management Seminar for Artists 11-741 Information Retrieval 05-775 Cognitive Perspectives in HCII 17-690 Seminar in Software Process 17-791 Software Engineering Seminar 17-620 Systems Engineering