Existing algorithmic models fail to produce accurate software development effort estimates. To address this problem, a case-based reasoning model, called Estor, was developed based on the verbal protocols of a human expert solving a set of estimation problems. Estor was then presented with 15 software effort estimation tasks. The estimates of Estor were compared to those of the expert as well a...

The software measurement expert system tool (SEMEST) is a rule-based and web-enabled application for multiple software engineering measurement and analysis. SEMEST is designed on the basis of the software Engineering measurement system (SEMS) that provides a comprehensive set of software measures and metrics in a formal and consistent framework. The Module View Controller (MVC) design model is ...

Detailed knowledge about verbs is critical in many NLP and IR tasks, yet manual determination of such knowledge for large numbers of verbs is difficult, time-consuming and resource intensive. Recent responses to this problem have attempted to classify verbs automatically, as a first step to automatically build lexical resources. In order to estimate the upper bound of a verb classification task...

Every expert system must continuously evolve, or it will become obsolete. This paper explores a successive testing process for evolutionary expert systems. The proposed test process is based upon applying software engineering model for overall life cycle of test process. The proposed testing process has two major complementary components: testing and maintenance. Each plays an important role in...

The present research identifies and prioritizes the effective organizational structure components using content (theme) analysis and Delphi technique and hierarchical analysis (Case Study of Regional Electric Companies of Iran). The present study is applied  based on purpose and is exploratory-survey based on the nature and method of data collection. The statistical population of this study inc...

The methodology presented in this paper is the result of accumulated experience gained through many years of developing several expert systems in the agricultural domain by the Central Laboratory for Agricultural Expert Systems (CLAES). We have adopted a spiral model for the overall life cycle of expert systems development. As will be explained in this paper, the development methodology of an e...