Measurement and Quality in Object-Oriented Design
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This document discusses measurement and quality in object-oriented design. It outlines that there is no perfect software design and flaws can impact quality attributes like fixability and maintainability. While object-oriented design metrics can help quantify aspects of design quality, individual metrics do not provide enough context about the root cause of issues. The thesis aims to bridge the gap between qualitative and quantitative design evaluations by developing goal-driven methods to better interpret measurement results and provide more relevant insights into potential problems in object-oriented software design.
Measurement and Quality in Object-Oriented Design
- 1. Measurement and Quality in Object-Oriented Design Radu Marinescu LOOSE Research Group ”Politehnica” University of Timis¸oara Bvd. V. Parvan 2, 300223 Timis ˆ ¸oara (Romania) radum@cs.utt.ro Presented by: Moutasm tamimi Software Quality 2017
- 2. Outline 1. Abstract 2. Introduction 3. Problem Statement 4. The thesis
- 3. Abstract Regarding with boosting the quality of design in the object- oriented software systems that must rely on the adequate quantification means. There are a huge number of metrics may use in isolation to ensure the parts of the design is quantified comprehensively.
- 4. Count. The novel detection strategy mechanism is a method to assist the software engineer by detecting and localizing the design problems that deviations from good design principles and heuristics are quantified in form of metrics-based rules. Therefore, ita has affected by a particular design flaw (e.g. Good Class), instead of the real design problem from a large set of abnormal metric values.
- 5. Count. Factor-Strategy: is a novel type of quality model design that aimed to obtain the final goal of bridging the gap between qualitative and quantitative statements as dissertation purpose. In addition, According to a set of essential principles, rules and heuristics, the novel model is quantifying using detection strategies of its quality of a design to contrast a traditional quality.
- 6. Introduction There is no perfect software design. Like all human activities, the process of designing software is error prone and object-oriented design makes no exception
- 7. The flaws of design structure impact on It solved by the method of identification and detection to improve software quality Quality attributes Fixability maintainability
- 8. Experiences of applying object-oriented design metrics A good object-oriented design needs Design rules and heuristics Control the quality of a design needs Quantification means. Is it ”good design” rules in a quantifiable manner?
- 9. Problem Statement In most cases individual measurements do not provide relevant clues regarding the cause of a problem (a metric value may indicate an anomaly in the code but it leaves the engineer mostly clueless concerning the ultimate cause of the anomaly). the developer is provided only with the problem and he or she must still empirically find the real cause and eventually look for a way to improve the design. In conclusion, there is a major gap between the things that we measure and the issues that have an important quality impact at the design level.
- 10. The thesis The gap between qualitative and quantitative statements, concerning object-oriented software design can be bridged using higher-level, goal-driven methods for measurement interpretation. The goal of the dissertation was to develop methods and techniques that provide a relevant interpretation of measurement results applied to the investigation of object- oriented software design.
- 11. Speaker Information Moutasm tamimi Independent consultant , IT Researcher , CEO at ITG7 Instructor of: Project Development. DBMS. .NET applications. Digital marketing. Email: tamimi@itg7.com LinkedIn: click here.