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| Achieving High Software Reliability | |
| Point of Contact |
Taghi M. Khoshgoftaar taghi@cse.fau.edu |
| Dates | January 1999 - September 2002 |
| Problem |
A development team does not know which modules tend to be faulty until late in the development process. Credible ranking of modules with respect to a quality factor, in accordance with process specifications, allows the team to focus enhancement efforts on modules that need it most. A good modeling tool and useful project data are needed to build the underlying quality prediction models. |
| Objective |
Readily available data from large software CMS and PRS can enable us to build software quality models that can rank modules with respect to a quality factor (Module-Order Modeling). MOM(s) can assist in effective resource utilization with better cost-effective software quality improvements. An empirical modeling tool, that demonstrates effective applicability of MOM(s), will be developed. |
| Results |
Achieving High Software Reliability Measurement Data.pdf Achieving High Software Reliability Technical Report.pdf Data Analysis Report.pdf Preliminary Modeling Report.pdf Requirements and Specifications for SMART.doc Taghi Khoshgoftaar Achieving High SW Reliability01.ppt Technical Report Comparative Study.pdf Technical Report Design Implementation and Integration.zip Modeling the Risk of Software Faults.pdf Diagnostic Tools for Identifying High-Risk Software Modules A Case-Based Reasoning Approach.pdf Static Code Analysis Tools for Identifying High-Risk Software Modules An Overview.pdf |
| Keywords | software reliability, software quality, space shuttle, Cassini, software metrics |
| Categories |
Software Reliability Code Analysis Design Analysis Interface Analysis Static Analysis |
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