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SOFTWARE PRODUCT SIZE 
MEASUREMENT METHODS 
A SYSTEMATIC MAPPING STUDY 
Sohaib Shahid Bajwa 
Cigdem Gencel 
Pekka Abrahamsson 
Free University of Bozen – Bolzano 
Bozen – Bolzano, Italy
OUTLINE 
• Introduction 
• Systematic Mapping Study (SMS) 
• Results & Discussion 
• Conclusions 
• Future Work 
2
INTRODUCTION – 1/2 
• Size 
• One of the basic attribute of software products 
• Why size 
• A key input for software effort and cost estimation 
• To monitor project achievements 
• Normalization of other measures when assessing quality 
(e.g. number of defects/SLOC) 
• Major entitites (to measure software size) 
• Software Requirement Specification (SRS) 
• Software Design 
• Software Code 
3
INTRODUCTION - 2/2 
• Common approaches to software size measurements 
• Identify key components of software product 
• Measure each using rigorous measurement methods 
• Issues related to software size measurement methods 
• Immaturity and difficulties in applying methods 
• Insufficient empirical/theoretical validation of measures 
• Lack of standardization of methods 
• During last decades 
• New measures and methods were developed 
• Improvements were made in exisiting ones 
4
A SYSTEMATIC MAPPING STUDY 
(SMS) – 1/5 
 A SMS 
Provides an overview of a research area 
Reduces the bias of researchers 
Well defined criteria to include/exclude primary 
studies 
Repeatable 
 Classification rather than in depth analysis 
(Systematic Literature Review) 
5
A SYSTEMATIC MAPPING STUDY 
(SMS) – 2/5 
 Research questions 
Which software size measures and methods were 
developed in software engineering? 
What is the current state of the art and trends in 
software sizing? 
 Search string 
(("software size" OR "software product size") AND 
("measur*" OR "metric*")) 
 Search strategy 
Search databases 
Limited snowball sampling 
Main conference proceedings 6
A SYSTEMATIC MAPPING STUDY 
(SMS) - 3/5 
 Search databases 
Database Name Total 
Found 
Year 
IEEE Xplore Digital Library 613 1977 – 2013 
ACM Digital Library 444 1947 – 2014 
Springer Link 489 1968 – 2014 
Total 1546 
Database Name Total Number of 
Studies 
Total (after inclusion criteria) 691 
IEEE Xplore Digital Library 276 
ACM Digital Library 241 
Springer Link 174 
Total (after exclusion criteria) 515 
Total (after reading the full texts) 167 
7
A SYSTEMATIC MAPPING STUDY 
(SMS) – 4/5 
 Snowball sampling (Studies become from 167 – 185) 
 Inclusion from main conference proceedings ( studies 
become from 185 – 208) 
 Publication channel distributions 
Publication types No. of Papers 
Journal 65 (31%) 
Conference/Workshops 124 (61%) 
Book Chapter 10 (5%) 
Others 9 (4%) 
Total 208 
8
A SYSTEMATIC MAPPING STUDY 
(SMS) – 5/5 
 Publication distribution per year 
Increasing trend after 2008 
9
RESULTS AND DISCUSSION – 1/5 
 79 Software product size measure/methods 
Software Product Size 
Measure/Method 
 Functional size classification 
Total 
Functional Size 68 
Physical Size 11 
Total 79 
Functional Size Classification Total 
New/Novel 12 
Extended 33 
Tailored 23 
Total 68 
10
RESULTS AND DISCUSSION – 2/5 
 Extended functional size measure/method 
Functional Size 
Measure/Methods 
Total 
IFPUG 18 
COSMIC 9 
Others 6 
Total (Extended) 33 
 Tailored functional size measure/method 
Functional Size 
Measure/Methods 
Total 
COSMIC 13 
IFPUG 6 
Others 4 
Total (Tailored) 23 
11
RESULTS AND DISCUSSION – 3/5 
 Number of Functional Sizing Methods with Respect to 
Years (New/Extended/Tailored) 
 After 2008, most of the methods were either tailored or 
extended 
12
RESULTS AND DISCUSSIONS – 
4/5 
 Development Methodology 
 Object Oriented Development Artifacts (e.g. UML diagrams) 
 Validation 
 Few theoretically validated 
 Mostly empirically validation (either data from industry or 
student projects) 
 Domain dominant 
 Data dominant (83%) 
 Data dominant and control dominant (15%) 
 Computational domain (2%) 
13
RESULTS AND DISCUSSIONS – 
5/5 
 Other aspects of software sizing 
 Critical reviews and improvements suggestions based on 
theoretical basis 
 How to calibrate Function Point Analysis (FPA) method 
 Reliability of size measurement 
 Convertibility between different size measures 
 Tools for automated size measurement 
14
CONCLUSIONS 
 Software Product Size Measurement 
 Functional Size (86%) 
 Physical Size (14%) 
 Only 19% are new/novel software sizing methods. Rest 
are either tailored or extended 
 Promising research areas: 
 Tailoring the method for OO methodologies 
 Tool development for automated measurement 
 Data dominant (83%), Data dominant and control 
dominant (15%), Computational domain (2%) 
15
FUTURE WORK 
• A comprehensive Systematic Literature Review for in 
depth analyses 
• Physical size measurement does not have similar level 
of acceptancy. 
• Only 2% methods are for computational dominant 
domain. 
16
THANK YOU!! 
Sohaib Shahid Bajwa (bajwa@inf.unibz.it) 
Cigdem Gencel (cigdem.gencel@unibz.it) 
Pekka Abrahamsson (pekka.abrahamsson@unibz.it) 
17

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Iwsm2014 software product size measurement methods (sohaib shahid bajwa - cigdem gencel - pekka abrahamsson)

  • 1. SOFTWARE PRODUCT SIZE MEASUREMENT METHODS A SYSTEMATIC MAPPING STUDY Sohaib Shahid Bajwa Cigdem Gencel Pekka Abrahamsson Free University of Bozen – Bolzano Bozen – Bolzano, Italy
  • 2. OUTLINE • Introduction • Systematic Mapping Study (SMS) • Results & Discussion • Conclusions • Future Work 2
  • 3. INTRODUCTION – 1/2 • Size • One of the basic attribute of software products • Why size • A key input for software effort and cost estimation • To monitor project achievements • Normalization of other measures when assessing quality (e.g. number of defects/SLOC) • Major entitites (to measure software size) • Software Requirement Specification (SRS) • Software Design • Software Code 3
  • 4. INTRODUCTION - 2/2 • Common approaches to software size measurements • Identify key components of software product • Measure each using rigorous measurement methods • Issues related to software size measurement methods • Immaturity and difficulties in applying methods • Insufficient empirical/theoretical validation of measures • Lack of standardization of methods • During last decades • New measures and methods were developed • Improvements were made in exisiting ones 4
  • 5. A SYSTEMATIC MAPPING STUDY (SMS) – 1/5  A SMS Provides an overview of a research area Reduces the bias of researchers Well defined criteria to include/exclude primary studies Repeatable  Classification rather than in depth analysis (Systematic Literature Review) 5
  • 6. A SYSTEMATIC MAPPING STUDY (SMS) – 2/5  Research questions Which software size measures and methods were developed in software engineering? What is the current state of the art and trends in software sizing?  Search string (("software size" OR "software product size") AND ("measur*" OR "metric*"))  Search strategy Search databases Limited snowball sampling Main conference proceedings 6
  • 7. A SYSTEMATIC MAPPING STUDY (SMS) - 3/5  Search databases Database Name Total Found Year IEEE Xplore Digital Library 613 1977 – 2013 ACM Digital Library 444 1947 – 2014 Springer Link 489 1968 – 2014 Total 1546 Database Name Total Number of Studies Total (after inclusion criteria) 691 IEEE Xplore Digital Library 276 ACM Digital Library 241 Springer Link 174 Total (after exclusion criteria) 515 Total (after reading the full texts) 167 7
  • 8. A SYSTEMATIC MAPPING STUDY (SMS) – 4/5  Snowball sampling (Studies become from 167 – 185)  Inclusion from main conference proceedings ( studies become from 185 – 208)  Publication channel distributions Publication types No. of Papers Journal 65 (31%) Conference/Workshops 124 (61%) Book Chapter 10 (5%) Others 9 (4%) Total 208 8
  • 9. A SYSTEMATIC MAPPING STUDY (SMS) – 5/5  Publication distribution per year Increasing trend after 2008 9
  • 10. RESULTS AND DISCUSSION – 1/5  79 Software product size measure/methods Software Product Size Measure/Method  Functional size classification Total Functional Size 68 Physical Size 11 Total 79 Functional Size Classification Total New/Novel 12 Extended 33 Tailored 23 Total 68 10
  • 11. RESULTS AND DISCUSSION – 2/5  Extended functional size measure/method Functional Size Measure/Methods Total IFPUG 18 COSMIC 9 Others 6 Total (Extended) 33  Tailored functional size measure/method Functional Size Measure/Methods Total COSMIC 13 IFPUG 6 Others 4 Total (Tailored) 23 11
  • 12. RESULTS AND DISCUSSION – 3/5  Number of Functional Sizing Methods with Respect to Years (New/Extended/Tailored)  After 2008, most of the methods were either tailored or extended 12
  • 13. RESULTS AND DISCUSSIONS – 4/5  Development Methodology  Object Oriented Development Artifacts (e.g. UML diagrams)  Validation  Few theoretically validated  Mostly empirically validation (either data from industry or student projects)  Domain dominant  Data dominant (83%)  Data dominant and control dominant (15%)  Computational domain (2%) 13
  • 14. RESULTS AND DISCUSSIONS – 5/5  Other aspects of software sizing  Critical reviews and improvements suggestions based on theoretical basis  How to calibrate Function Point Analysis (FPA) method  Reliability of size measurement  Convertibility between different size measures  Tools for automated size measurement 14
  • 15. CONCLUSIONS  Software Product Size Measurement  Functional Size (86%)  Physical Size (14%)  Only 19% are new/novel software sizing methods. Rest are either tailored or extended  Promising research areas:  Tailoring the method for OO methodologies  Tool development for automated measurement  Data dominant (83%), Data dominant and control dominant (15%), Computational domain (2%) 15
  • 16. FUTURE WORK • A comprehensive Systematic Literature Review for in depth analyses • Physical size measurement does not have similar level of acceptancy. • Only 2% methods are for computational dominant domain. 16
  • 17. THANK YOU!! Sohaib Shahid Bajwa (bajwa@inf.unibz.it) Cigdem Gencel (cigdem.gencel@unibz.it) Pekka Abrahamsson (pekka.abrahamsson@unibz.it) 17