Complexity measures for object-oriented conceptual models of an application domain.

According to Norman Fenton few work has been done on measuring the complexity of the problems underlying software development. Nonetheless, it is believed that this attribute has a significant impact on software quality and development effort. A substantial portion of the underlying problems are captured in the conceptual model of the application domain. Based on previous work on conceptual modelling of aplication domains, the attribute 'complexity of a conceptual model' is formally defined in this papaer using elementary concepts from Measure Theory. Moreover, a number of complexity measures are defined and validated against this complexity definition. It is argued and demonstrated that these problem domain measures are part of a solution to the problem outlined by Norman Fenton.Model; Models;

Measuring the Pro-Activity of Software Agents

Despite having well-defined characteristics, software agents do not have a developed set of measures defining their quality. Attempts at evaluating software agent quality have focused on some agent aspects, like the development process, whereas others focusing on the agent as a software product have basically adopted measures associated with other software paradigms, like procedural and object-oriented concepts. Here we propose a set of measures for evaluating software agent pro-activity, the software agent's goal-driven behavioral ability to take the initiative and satisfy its goal

Similarity Measures for Object-Oriented Case Representations

Object-oriented case representations require approaches for similarity assessment that allow to compare two differently structured objects, in particular, objects belonging to different object classes. Currently, such similarity measures are developed more or less in an ad-hoc fashion. It is mostly unclear, how the structure of an object-oriented case model, e.g., the class hierarchy, influences similarity assessment. Intuitively, it is obvious that the class hierarchy contains knowledge about the similarity of the objects. However, how this knowledge relates to the knowledge that could be represented in similarity measures is not obvious at all. This paper analyzes several situations in which class hierarchies are used in different ways for case modeling and proposes a systematic way of specifying similarity measures for comparing arbitrary objects from the hierarchy. The proposed similarity measures have a clear semantics and are computationally inexpensive to compute at run-time

Formal software measurements for object-oriented business models.

This paper presents a set of metrics and pseudo-metrics for the measurement of conceptual distances in M.E.R.O.D.E. business models. The measures are developed and validated using measure and measurement theory. It is argued that this metrics set constitutes a strong formal basis for the further assessment and prediction of relevant internal and external attributes of object-oriented specifications.Keywords: object type, business model, conceptual distance, measure theory, measurement theory, metric, pseudo-metric, scale type, measure validation.Measurement; Model; Models; Software;

DISTANCE: a framework for software measure construction.

In this paper we present a framework for software measurement that is specifically suited to satisfy the measurement needs of empirical software engineering research. The framework offers an approach to measurement that builds upon the easily imagined, detected and visualised concepts of similarity and dissimilarity between software entities. These concepts are used both to model the software attributes of interest and to define the corresponding software measures. Central to the framework is a process model that embeds constructive procedures for attribute modelling and measure construction into a goal-oriented approach to empirical software engineering studies. The underlying measurement theoretic principles of our approach ensure the construct validity of the resulting measures. The approach was tested on a popular suite of object-oriented design measures. We further show that our measure construction method compares favourably to related work.Software;

Using a Combination of Measurement Tools to Extract Metrics from Open Source Projects

Software measurement can play a major role in ensuring the quality and reliability of software products. The measurement activities require appropriate tools to collect relevant metric data. Currently, there are several such tools available for software measurement. The main objective of this paper is to provide some guidelines in using a combination of multiple measurement tools especially for products built using object-oriented techniques and languages. In this paper, we highlight three tools for collecting metric data, in our case from several Java-based open source projects. Our research is currently based on the work of Card and Glass, who argue that design complexity measures (data complexity and structural complexity) are indicators/predictors of procedural/cyclomatic complexity (decision counts) and errors (discovered from system tests). Their work was centered on structured design and our work is with object-oriented designs and the metrics we use parallel those of Card and Glass, being, Henry and Kafura's Information Flow Metrics, McCabe's Cyclomatic Complexity, and Chidamber and Kemerer Object-oriented Metrics

Diagnosis of the significance of inconsistencies in software designs: a framework and its experimental evaluation

This paper presents: (a) a framework for assessing the significance of inconsistencies which arise in object-oriented design models that describe software systems from multiple perspectives, and (b) the findings of a series of experiments conducted to evaluate it. The framework allows the definition of significance criteria and measures the significance of inconsistencies as beliefs for the satisfiability of these criteria. The experiments conducted to evaluate it indicate that criteria definable in the framework have the power to create elaborate rankings of inconsistencies in models

Incorporating Object-Oriented Metrics Into A Reverse Engineering Tool

This work explains the use of object-oriented software product metrics with their thresholds and how they could be incorporated into a reverse engineering tool that visualizes the architectural components of a software system. Visualizing. Object-Oriented C++ ( VOO++), reverse engineering tool that visualizes C++ objectoriented source code, is enhanced and reproduced to become a Visualizing and Measuring C++ ( VMCPP) tool that visualizes and measures object-oriented C++ files. VMCPP assists the software developer in extracting and interpreting the components of a software system. Unified Modeling Language (UML) class diagrams are produced to graphically represent the classes involved in implementing a software system. Thresholds are used within VMCPP to separate the extracted metrics values into normal values and critical values

Uncovering GPTS with Patent Data

This paper asks the question: Can we see evidence of General Purpose Technologies in patent data? Using data on three million US patents granted between 1967 and 1999, and their citations received between 1975 and 2002, we construct a number of measures of GPTs, including generality, number of citations, and patent class growth, for patents themselves and for the patents that cite the patents. A selection of the top twenty patents in the tails of the distribution of several of these measures yields a set of mostly ICT technologies, of which the most important are those underlying transactions on the internet and object-oriented software. We conclude with a brief discussion of the problems we encountered in developing our measures and suggestions for future work in this area.