SlideShare uma empresa Scribd logo
1 de 8
THE TASK

Analysis of defect reports, evaluation of
  implemented ODC classification scheme, and
  suggest areas for improvement.
Problem: 20% of the defect reports takes 80% of
  the available resources.
EVISOFT-project: Evidence based Software
  Process Improvement




                                                  2
COMPANY A RESULTS
 40
 35
 30
 25
 20
 15                 Core
 10                 B2C
  5                 B2B
  0




                           3
PROJECT PROFILES (EXTENSIVE EFFORT)

Core is low level, algorithms, design phase and
  high risk of regressions.
B2C is high level, algorithms, functions, classes
  and objects, design phase.
B2B assignation and initialisation,code phase.




                                                    4
PROJECT PROFILES (LITTLE EFFORT)
Core: Assignation and intialisation, function classes and
  objects, code phase, and low regression risk
B2C: checking statements, code phase and low
  regression risk.
B2B: checking statements and interfaces, requirements
  phase.


In general: High level of unspecified values




                                                            5
COMPARISON VERSUS ANOTHER COMPANY

Different reasons for both extensive and little
   effort to correct defects
Extensive effort: Logical errors in code
Little effort: UI defects,

In general: domain knowledge




                                                  6
FACTORS

Size of the system
Complexity of the system
The phase a defect is discovered
The maintainers’ experience with the system
  and the domain
Tools and processes




                                              7
SOURCES
Jan Maximilian Winther Kristiansen «Software Defect Analysis - An Empirical
   Study of Causes and Costs in the Information Technology Industry»
   (http://www.idi.ntnu.no/grupper/su/su-diploma-2010/dipl10-
   janmaxim.pdf)
Jan Maximilian Winther Kristiansen, Jingyue Li, Tor Stålhane and Reidar
   Conradi «Cost Drivers of Software Corrective Maintenance: An Empirical
   Study in Two Companies» ,In proceedings of ICSM ’10: International
   Conference on Software Maintenance
Jingyue Li, Jan Maximilian Winther Kristiansen, Tor Stålhane and Reidar
    Conradi «Enhancing Software Defect Tracking System to Facilitate
    Continuous Software Quality Assessment and Improvement», Submitted
    to IEEE Software journal for review.




                                                                              8

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Software Defects

  • 1.
  • 2. THE TASK Analysis of defect reports, evaluation of implemented ODC classification scheme, and suggest areas for improvement. Problem: 20% of the defect reports takes 80% of the available resources. EVISOFT-project: Evidence based Software Process Improvement 2
  • 3. COMPANY A RESULTS 40 35 30 25 20 15 Core 10 B2C 5 B2B 0 3
  • 4. PROJECT PROFILES (EXTENSIVE EFFORT) Core is low level, algorithms, design phase and high risk of regressions. B2C is high level, algorithms, functions, classes and objects, design phase. B2B assignation and initialisation,code phase. 4
  • 5. PROJECT PROFILES (LITTLE EFFORT) Core: Assignation and intialisation, function classes and objects, code phase, and low regression risk B2C: checking statements, code phase and low regression risk. B2B: checking statements and interfaces, requirements phase. In general: High level of unspecified values 5
  • 6. COMPARISON VERSUS ANOTHER COMPANY Different reasons for both extensive and little effort to correct defects Extensive effort: Logical errors in code Little effort: UI defects, In general: domain knowledge 6
  • 7. FACTORS Size of the system Complexity of the system The phase a defect is discovered The maintainers’ experience with the system and the domain Tools and processes 7
  • 8. SOURCES Jan Maximilian Winther Kristiansen «Software Defect Analysis - An Empirical Study of Causes and Costs in the Information Technology Industry» (http://www.idi.ntnu.no/grupper/su/su-diploma-2010/dipl10- janmaxim.pdf) Jan Maximilian Winther Kristiansen, Jingyue Li, Tor Stålhane and Reidar Conradi «Cost Drivers of Software Corrective Maintenance: An Empirical Study in Two Companies» ,In proceedings of ICSM ’10: International Conference on Software Maintenance Jingyue Li, Jan Maximilian Winther Kristiansen, Tor Stålhane and Reidar Conradi «Enhancing Software Defect Tracking System to Facilitate Continuous Software Quality Assessment and Improvement», Submitted to IEEE Software journal for review. 8