MII: Software Engineering Research and Education Laboratory

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9906590Stoecklin, Sara Williams, Diedre D. Florida A & M UniversitySoftware Engineering Research and Education Laboratory (SEREL)This award contributes to strengthen Florida A & M University objectives:Increase participation of minority students in research activities to stimulate students' interest in advanced degrees in computing and software engineering.Strengthen instructional and research capabilities of the CIS Department.To meet these objectives, academically promising students are recruited and tracked for participation in scholarships, internships, workshops/conferences, faculty mentored research, and pre-graduate school enrollment activities. Serel, a focal point for stimulating student research, will be enhanced with networks, computers, and server capabilities to further research in software engineering. The award will also be used to prepare the CIS Department for CSAB accreditation. Software Engineering methods, techniques, and tools will be developed further to:Predict execution times of code segments by examining object code generatedExtend UML with Real-Time Architecture Specification (RAS) and Real-Time Computational Tree Logic (RTCTL)Adapt spoken language dialogues allowing linguistic knowledge to evolve the dialoguesBuild a system prototype to "compute with words" that provides users the freedom, to use their natural language protocolsDevelop testing techniques and toolsDevelop methods and algorithms for information retrieval from structured un-structured data sources using ontological knowledge domains While increasing the participation of women and minorities in graduate education, the project will facilitate, enhance, and intensify research in CISE areas. Through this effort, FAMU is expected to develop further its computer and information science and software engineering research capabilities involving minority students in greater numbers, paving the way for the conferring of more doctoral degrees to under-represented groups, particularly African Americans and women in Computer Information Science and Engineering. It is hoped that through these efforts, the nation might find a successful model that will help in building a better racially and ethnically balanced technological enterprise for the benefit of its present and future generations.