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.

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.