1. Software Metrics and Quality
Assurance

2. Reference Books
• 1) Software Metrics – A Rigorous & Practical Approach, 2E
– By:- Norman E Fenton & Shari Lawrence Pfleeger
– Publication :- Thomson Learning.
– (Chapter 1,2,3,7,8,9,10,12 )
– Syllabus covered I,II,III Units
2) Software Quality
By :- Garry Marliss and Ben-Menachem
– Publication :- Thomson Learning.
– (Chapter,7,8,9,19 )
– Syllabus covered IV Unit
Mr. M. E. Patil
S.S.B.T COET, Bambhori

3. • Software Engineering –A Practitioners approach, fifth
edition.
By :- Roger S Pressman.
Chapters 27 28,29
(Syllabus Covered:- V unit)
Mr. M. E. Patil
S.S.B.T COET, Bambhori

4. Software Metric and Quality Assurance
• Software Metric:
– It is the combination of the various attributes of
the software.
– Attributes of the software are
• Length
• Functionality
• Reuse
• Number of faults
Mr. M. E. Patil
S.S.B.T COET, Bambhori

5. • Quality Assurance:-
– Fitness of purpose
– Conformance to the given specifications
– Degree of excellence
– Timeliness
Mr. M. E. Patil
S.S.B.T COET, Bambhori

6. Measurement in everyday life
• Without measurement technology cant
function
• Examples of Measurement
– Radar System
– Medical System
– Whether forecasting system
– Price act as value of an item
– Journey from jalgaon to Mumbai
Mr. M. E. Patil
S.S.B.T COET, Bambhori

7. Measurement helps to
• Understand our world
• Interact with the surroundings
• Improve our lives.
Mr. M. E. Patil
S.S.B.T COET, Bambhori

8. • What is Measurement ?
Mr. M. E. Patil
S.S.B.T COET, Bambhori

9. • Measurement is the process by which
numbers or symbols are assigned to attributes
of entities in the real world, so as to describe
them according to the clearly defined rules.
Mr. M. E. Patil
S.S.B.T COET, Bambhori

10. • An Entity :- an object (person or object)
an event (Journey or the testing
process)
Attribute:- It is the feature or property of an
entity.
e.g. area or color of the room,
cost of the journey,
Mr. M. E. Patil
S.S.B.T COET, Bambhori

11. • Measurement can be called as quantification
• There are two types of quantification
– Direct and Indirect quantification
– Measurement is direct quantification
• E. g. Height of a tree , length of software
– Calculations are indirect quantification
• E.g. Area of room = Length * Breadth
Mr. M. E. Patil
S.S.B.T COET, Bambhori

12. Measurement in software Engineering
• Software engineering Activity includes
– Managing
– Costing
– Planning
– Designing
– Modeling
– Analyzing
– Implementing
– Testing and maintaining
Mr. M. E. Patil
S.S.B.T COET, Bambhori

13. • As software engineering focuses on
implementing the software in controlled and
scientific way.
• To do this, all the above activities must be
understood then we can control them and
further we can improve.
Mr. M. E. Patil
S.S.B.T COET, Bambhori

14. Neglecting measurement in software
engineering
• We fail to set measurable targets for our
software products.
• We fail to understand and quantify the cost of
software products.
• We can’t quantify the quality of the product
we produce
• We can’t find out the improvements in out
product development
Mr. M. E. Patil
S.S.B.T COET, Bambhori

15. Objectives of software measurement
• Measurement is needed for assessing the
status of our
– Projects
– Products
– Processes
– Resources
Mr. M. E. Patil
S.S.B.T COET, Bambhori

16. Information required to understand
and control software development
• Form Managers Perspective
– What does each process cost ?
– How productive is the staff ?
– How good is the code being developed ?
– Will the user be satisfied with the product ?
– How we can improve ?
Mr. M. E. Patil
S.S.B.T COET, Bambhori

17. • From Engineers Perspective:-
– Are the requirements testable ?
– Have we found all the faults ?
– Have we meet our product or process goals ?
– What will happen in future ?
Mr. M. E. Patil
S.S.B.T COET, Bambhori

18. Representational theory of
Measurement
• The data we obtain as measure should
represent the attribute of the entities we
observe and manipulation of data should
preserve relationship that we observe among
the entities
• It consists of
– Empirical Relation
– Rules of Mapping
– Representation condition
Mr. M. E. Patil
S.S.B.T COET, Bambhori

19. Empirical relation
• We normally understand things by comparing
them instead of assinging them numbers.
• Avinash is tall - ‘is tall’ is the unary relation
• Avinash is taller than Sushant.
– Taller than is the binary relation
Mr. M. E. Patil
S.S.B.T COET, Bambhori

20. Rules of Mapping
• The real world is the domain of mapping and
mathematical world is the range.
• When we map the attributes to a
mathematical system, we have many choices
for the mapping and the range.
– E.g. To measure person height.
Mr. M. E. Patil
S.S.B.T COET, Bambhori

21. The representation condition
• The representation condition states that a
measurement mapping M must map the
entities in to numbers ans empirical relations
into the numerical relations in such a way that
the empirical relations preserve and are
preserved by the numerical relations.
• For taller than in empirical relation is mapped
to symbol > in numerical relation.
Mr. M. E. Patil
S.S.B.T COET, Bambhori

22. • A is taller than B iff M(A) > M(B).
• This statement implies that
– When ever A is taller than B then M(A) must be
bigger number that M(B)
Mr. M. E. Patil
S.S.B.T COET, Bambhori

23. • A is tall
• When M(A) > 5.5’ i.e. average height of
common man
Mr. M. E. Patil
S.S.B.T COET, Bambhori

24. Mr. M. E. Patil
S.S.B.T COET, Bambhori