Use of selected software complexity measures in introductory programming courses
"One of the most significant elements to evolve from software science research has been the development of complexity metrics which attempt to quantitatively measure the complexity of various software structures within the total scope of the software development cycle. There exist complexity metrics to measure aspects such as project resources and cost, design implementations, program control flow, program data structure usage, system reliability and correctness. The vast majority of users of complexity metrics are industrially employed; this work explores the utility of complexity metrics to the novice programmer. Several complexity measures which focus on program size, vocabulary, and control flow are presented here. A computerized experimental system was developed to implement selected complexity measures as an analysis tool for both students and instructors in the introductory BASIC-PLUS programming course. The tool provides students with immediate feedback on the simplicity of a solution program. The system also augments the instructor's facility to perform an appraisal of solution quality, exposing some of the criteria used to effect this assessment"--Abstract, leaf ii.
Metzner, John R.
Prater, John Bruce, 1932-2002
M.S. in Computer Science
University of Missouri--Rolla
viii, 112 leaves
© 1984 Sister Susan Denise Welsby, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Computer-assisted instruction -- Design
Educational technology -- Design
Computer software -- Evaluation
Print OCLC #
Link to Catalog Record
Welsby, Susan Denise, "Use of selected software complexity measures in introductory programming courses" (1984). Masters Theses. 4546.