An introduction to software quality control
Part 1: Fundamental concepts in statistics and quality control. baPart 1. Fundamental concepts in statistics and quality control. Basic concepts in probability. Important statistical distributions for software quality control. Random number generation. Sampling techniques and statistical inference. Acceptance sampling. Part 2: Requirements specification. Software design and test design. Structured programming. Structured module interfacing for software systems. Software testing, validation, verification, and debugging. Software system acceptance. FORTRAN compiler acceptance. COBOL compiler acceptance. Part 3: Software testing, validation, verification and debugging. Software system accepance. FORTRAN compiler acceptance. COBOL compiler acceptance.
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Fundamental Concepts in Statistics and Quality
Important Statistical Distributions for Software Quality
21 other sections not shown
05 FILLER PIC acceptance criteria acceptance sampling plan binomial distribution bx bx bx C. A. R. Hoare calling sequence CHI-SQUARE TEST COBOL constructed contains data structure data type debugging Descriptive element E. W. Dijkstra Equation errors ex ex example FORTRAN frequency function GAP TEST given in Section I'BX I'BX I'BX input data input domain INTEGER level of significance LOWER BOUND matrix mean method module interface MOVE normal distribution o o o o o OOOOO OOOOO OOOOO outcomes output PL/I population probability procedure PROCF program of Figure quality characteristics random digits random number random sampling random seed random test requirements sample space sampled elements sequential sampling plan shown in Figure SIAD tree single sampling plan software development software quality software quality control software system specification structured programming SUBROUTINE technique test program test results tion Tree Symbol Tree UPPER BOUND valid variance