One of the most important problems faced by software developers and users is the prediction of the size of a programming system and its development effort. As an alternative to "size," one might deal with a measure of the "function" that the software is to perform. Albrecht  has developed a methodology to estimate the amount of the "function" the… (More)
This paper provides formulas relating the number of faults or ``bugs'' to the number of lines of code and to the number of conditional jumps. A result is that there are, on the average, about 21 bugs per KSLOC discoverable after successful compilation. A major motivation for the work presented here was to determine if some published data suggest any… (More)
A general model of software reuse economics is presented. The model provides a framework for making estimates and decisions about the economic desirability ofreusing software. It covers costs andproductivity, return on investment, and incremental funding schemes.
The nature of “software quality” and some software metrics are defined and their relationship to traditional software indicators such as “maintainability” and “reliability” are suggested. Recent work in the field is summarized and an outlook for software metrics in quality assurance is provided. The material was… (More)
This paper presents a comprehensive method for evaluating intrusion detection systems (IDSs). It integrates and extends ROC (receiver operating characteristic) and cost analysis methods to provide an expected cost metric. Results are given for determining the optimal operation of an IDS based on this expected cost metric. Results are given for the operation… (More)
The author quantifies the relative reduction in software development costs provided by the use of a higher order coding language (HOL). Paradoxically, as T. C. Jones (1978) has pointed out, when productivity is measured as source lines of code per labor month, there is `an apparent productivity lowering for the whole development cycle with high level… (More)
This paper presents a fault prediction model using reliability relevant software metrics and fuzzy inference system. For this a new approach is discussed to develop fuzzy profile of software metrics which are more relevant for software fault prediction. The proposed model predicts the fault density at the end of each phase of software development using… (More)