The automatic assessment of software quality using standard- and metric-based Software Quality Models has numerous advantages. For example, it is less error-prone, less time consuming, and neutral ...

/pdf/validation-of-a-standard-and-metric-based-software-quality-cmgprhmtpx.pdf

Validation of a Standard- and Metric-Based Software Quality Model

iii Supervisory Committee Dr. Hausi A. Müller, (Department of Computer Science) Supervisor Dr. R. Nigel Horspool, (Department of Computer Science) Departmental Member Dr. Yvonne Coady, (Department of Computer Science) Departmental Member Dr. Issa Traoŕ e, (Department of Electrical & Computer Engineering) Outside Member Dr. Dennis B. Smith, (Carnegie Mellon Software Engineering Institute) External Examiner

Building reverse engineering tools with software components

Our long term research goal is to validate a standard- and metric-based software quality model. Today, ambiguous metric definitions lead to incomparable implementation variants in tools. Therefore, ...

Validation of a Standard- and Metric-Based Software Quality Model : Creating the Prerequisites for Experimentation

Graphical modeling is becoming an increasingly important part of software engineering as it provides means of increasing productivity by raising the level of abstraction in software devel-opment. One of the most widely adopted modeling notations is the Unified Modeling Language (UML) which has gained popularity due to its generality and broad applicability. Despite its advantages, this general purpose notation is burdened with the lack of purpose specific model-ing abstractions. The modeling abstractions in the language lack specialized properties and thus models might not precisely express the intentions of the modeler. In consequence, this leads to ineffectiveness of using models in UML. This thesis presents research aimed at improving modeling with UML. By exploiting the language customization mechanisms inherent in UML – stereotypes and profiles – the research presented in the thesis explores such aspects of improving modeling as creating language cus-tomizations or using a customized modeling language. The context, in which the modeling is considered, is delineated by the principles of model driven software development (MDD). The principles recognize the usage of models as the primary artefacts in software development thus providing a solid foundation for considering the use of models in software development. One of the contributions in the thesis is the identification and definition of factors determin-ing the successful realization of MDD in industry. These factors provide means of positioning language customization in the forefront of MDD. Another contribution in the thesis is eliciting and prioritizing a set of criteria for choosing between language customization mechanisms, which is a result of another industrial case study. A series of experiments in academic and industrial environments showed the magnitude of improvements to be expected after replacing a standard modeling language with a customized modeling notation. This series of experiments provided a basis for experimenting with stereo-types and software inspections which indicated a considerable increase in effectiveness of the reading techniques used in software inspections after replacing a standard notation with a cus-tomized one. The results from all empirical studies affected the development of quality assessment crite-ria for stereotypes. The criteria and the exploration of several existing profiles led to the devel-opment of guidelines for creating “good” stereotypes by analyzing existing UML profiles. An additional contribution in the thesis is exploring the usage of an alternative mechanism to stereo-types – model libraries – for adaptation of a modeling language. The way in which model librar-ies can be created in an efficient way is studied by creating a method for extracting knowledge from ontologies into UML domain models. The results of the research presented in the thesis show how to improve modeling with UML by customizing the language with stereotypes. The main contribution is the exploration and evaluation of issues related to creating language customizations and using the customized language.

Improving Modeling with UML by Stereotype-based Language Customization

Software reverse engineering is a subdiscipline of software engineering, striving to provide support for the comprehension of software systems by creating suitable representations of the system in another form or higher level of abstraction. In order to be effective, reverse engineering needs tool support, which provides functionality to extract low-level facts from the systems, to analyze and generate knowledge about the systems, and to visualize that knowledge so that reverse engineers are able to comprehend the aspects of the system that they are interested in effectively. This chapter explores the issue of building tools for reverse engineering. Since tools are an important part of conducting research in reverse engineering, it is worthwhile to reflect upon the state of tool building with the goal to advance upon it—and thus to advance reverse engineering research as a whole. We tackle this goal by looking at the issue of tools through a set of lenses. The purpose of each lens is to focus on a critical topic for tool building by surveying the current state-of-the-art and identifying challenges that need to be addressed. In this chapter we discuss three lenses, namely (1) requirements for reverse engineering tools, (2) construction of reverse engineering tools, and (3) evaluation of reverse engineering tools. The first lens identifies a number of generic quality attributes that reverse engineering tools should strive to meet. The second lens approaches tools from the observation that since tool building is a key activity in research, it should be conducted in an effective and rather predictable manner. The third lens looks at the role that tools play in supporting the evaluation of reverse engineering research. While each lens looks at the topic from a different perspective, taken together they provide a holistic picture of tool building in the reverse engineering domain.

The Tools Perspective on Software Reverse Engineering: Requirements, Construction, and Evaluation

This paper describes an experiment of rapidly constructing reverse engineering tools from predefined components/tools. We perform two ways of construction. The first uses ad-hoc composition. The second exploits a framework design to support the customization of reverse engineering tools. We evaluate the quality of the assembled tools and their assembling time for each approach. For this, we describe in this paper briefly our framework, the metrics chosen for quality measurement based on the GQM approach, the experiment itself and our results. The paper gives empirical evidence that framework customization, here using the VizzAnalyzer framework, is superior to ad-hoc composition.

Evaluation of a framework for reverse engineering tool construction

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

T. Panas

Author Tools

Chat about Author

Papers

Evaluation of a framework for reverse engineering tool construction