SlideShare une entreprise Scribd logo
1  sur  16
Sègla Kpodjedo, Filippo Ricca, Philippe Galinier and   Giuliano (Giulio)  Antoniol RSSE 2008, Atlanta   Toward a Recommendation System for focusing Testing
Outline ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],RSSE 2008, Atlanta
The Challenge ,[object Object],[object Object],[object Object],[object Object],[object Object],RSSE 2008, Atlanta
Related Work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],RSSE 2008, Atlanta
Our Approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],RSSE 2008, Atlanta
Class Diagrams are labeled graphs RSSE 2008, Atlanta Classes: Nodes labeled with properties (class name, attributes, methods …) Relations: Labeled Edges  (i.e., association, aggregation or inheritance)
Random Walks and “ClassRank” ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],RSSE 2008, Atlanta
Evolution Cost RSSE 2008, Atlanta Snapshot N Snapshot  N-1 Snapshot 1 1 2 3 4 5 … 6 2 8
Error Correcting Graph Matching G 1 G 2 M G1 M G2 D G1 I G2 ,[object Object],[object Object],[object Object],[object Object],[object Object],Visualisation of an ECGM RSSE 2008, Atlanta M G1 M G2 D G1 I G2
ECGM Costs ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],xyz yxw a b C nm C es C el ,[object Object],RSSE 2008, Atlanta
Node Cost RSSE 2008, Atlanta ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Evolution Cost RSSE 2008, Atlanta Snapshot N Snapshot  N-1 Snapshot 1 1 2 3 4 5 … 6 2 8
Case Study ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],RSSE 2008, Atlanta
Mozilla Case Study: Results RSSE 2008, Atlanta
Case Study: Discussion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],RSSE 2008, Atlanta
Conclusion ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],RSSE 2008, Atlanta

Contenu connexe

Similaire à Toward a Recommendation System for focusing Testing

ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis
ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph AnalysisICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis
ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph AnalysisJason Riedy
 
Experiments on Design Pattern Discovery
Experiments on Design Pattern DiscoveryExperiments on Design Pattern Discovery
Experiments on Design Pattern DiscoveryTim Menzies
 
A Validation of Object-Oriented Design Metrics as Quality Indicators
A Validation of Object-Oriented Design Metrics as Quality IndicatorsA Validation of Object-Oriented Design Metrics as Quality Indicators
A Validation of Object-Oriented Design Metrics as Quality Indicatorsvie_dels
 
Analytics of Performance and Data Quality for Mobile Edge Cloud Applications
Analytics of Performance and Data Quality for Mobile Edge Cloud ApplicationsAnalytics of Performance and Data Quality for Mobile Edge Cloud Applications
Analytics of Performance and Data Quality for Mobile Edge Cloud ApplicationsHong-Linh Truong
 
Workshop nwav 47 - LVS - Tool for Quantitative Data Analysis
Workshop nwav 47 - LVS - Tool for Quantitative Data AnalysisWorkshop nwav 47 - LVS - Tool for Quantitative Data Analysis
Workshop nwav 47 - LVS - Tool for Quantitative Data AnalysisOlga Scrivner
 
IRJET- Supervised Learning Classification Algorithms Comparison
IRJET- Supervised Learning Classification Algorithms ComparisonIRJET- Supervised Learning Classification Algorithms Comparison
IRJET- Supervised Learning Classification Algorithms ComparisonIRJET Journal
 
IRJET- Supervised Learning Classification Algorithms Comparison
IRJET- Supervised Learning Classification Algorithms ComparisonIRJET- Supervised Learning Classification Algorithms Comparison
IRJET- Supervised Learning Classification Algorithms ComparisonIRJET Journal
 
Accounting for uncertainty in species delineation during the analysis of envi...
Accounting for uncertainty in species delineation during the analysis of envi...Accounting for uncertainty in species delineation during the analysis of envi...
Accounting for uncertainty in species delineation during the analysis of envi...methodsecolevol
 
Software Measurement: Lecture 1. Measures and Metrics
Software Measurement: Lecture 1. Measures and MetricsSoftware Measurement: Lecture 1. Measures and Metrics
Software Measurement: Lecture 1. Measures and MetricsProgrameter
 
Sub-Graph Finding Information over Nebula Networks
Sub-Graph Finding Information over Nebula NetworksSub-Graph Finding Information over Nebula Networks
Sub-Graph Finding Information over Nebula Networksijceronline
 
IRJET- Review on Scheduling using Dependency Structure Matrix
IRJET-  	  Review on Scheduling using Dependency Structure MatrixIRJET-  	  Review on Scheduling using Dependency Structure Matrix
IRJET- Review on Scheduling using Dependency Structure MatrixIRJET Journal
 
220206 transformer interpretability beyond attention visualization
220206 transformer interpretability beyond attention visualization220206 transformer interpretability beyond attention visualization
220206 transformer interpretability beyond attention visualizationtaeseon ryu
 
Performance Comparision of Machine Learning Algorithms
Performance Comparision of Machine Learning AlgorithmsPerformance Comparision of Machine Learning Algorithms
Performance Comparision of Machine Learning AlgorithmsDinusha Dilanka
 
Identifying and Resolving Consistency Issues between Model Representations
Identifying and Resolving Consistency Issues between Model RepresentationsIdentifying and Resolving Consistency Issues between Model Representations
Identifying and Resolving Consistency Issues between Model RepresentationsIvan Ruchkin
 
Data Science as a Career and Intro to R
Data Science as a Career and Intro to RData Science as a Career and Intro to R
Data Science as a Career and Intro to RAnshik Bansal
 
ProDebt's Lessons Learned from Planning Technical Debt Strategically
ProDebt's Lessons Learned from Planning Technical Debt StrategicallyProDebt's Lessons Learned from Planning Technical Debt Strategically
ProDebt's Lessons Learned from Planning Technical Debt StrategicallyQAware GmbH
 
Predicting Defects Using Change Genealogies (ISSE 2013)
Predicting Defects Using Change Genealogies (ISSE 2013)Predicting Defects Using Change Genealogies (ISSE 2013)
Predicting Defects Using Change Genealogies (ISSE 2013)Kim Herzig
 
Scalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs
Scalable and Efficient Algorithms for Analysis of Massive, Streaming GraphsScalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs
Scalable and Efficient Algorithms for Analysis of Massive, Streaming GraphsJason Riedy
 
ExplainingMLModels.pdf
ExplainingMLModels.pdfExplainingMLModels.pdf
ExplainingMLModels.pdfLHong526661
 

Similaire à Toward a Recommendation System for focusing Testing (20)

ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis
ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph AnalysisICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis
ICIAM 2019: A New Algorithm Model for Massive-Scale Streaming Graph Analysis
 
Experiments on Design Pattern Discovery
Experiments on Design Pattern DiscoveryExperiments on Design Pattern Discovery
Experiments on Design Pattern Discovery
 
A Validation of Object-Oriented Design Metrics as Quality Indicators
A Validation of Object-Oriented Design Metrics as Quality IndicatorsA Validation of Object-Oriented Design Metrics as Quality Indicators
A Validation of Object-Oriented Design Metrics as Quality Indicators
 
Analytics of Performance and Data Quality for Mobile Edge Cloud Applications
Analytics of Performance and Data Quality for Mobile Edge Cloud ApplicationsAnalytics of Performance and Data Quality for Mobile Edge Cloud Applications
Analytics of Performance and Data Quality for Mobile Edge Cloud Applications
 
Workshop nwav 47 - LVS - Tool for Quantitative Data Analysis
Workshop nwav 47 - LVS - Tool for Quantitative Data AnalysisWorkshop nwav 47 - LVS - Tool for Quantitative Data Analysis
Workshop nwav 47 - LVS - Tool for Quantitative Data Analysis
 
IRJET- Supervised Learning Classification Algorithms Comparison
IRJET- Supervised Learning Classification Algorithms ComparisonIRJET- Supervised Learning Classification Algorithms Comparison
IRJET- Supervised Learning Classification Algorithms Comparison
 
IRJET- Supervised Learning Classification Algorithms Comparison
IRJET- Supervised Learning Classification Algorithms ComparisonIRJET- Supervised Learning Classification Algorithms Comparison
IRJET- Supervised Learning Classification Algorithms Comparison
 
Accounting for uncertainty in species delineation during the analysis of envi...
Accounting for uncertainty in species delineation during the analysis of envi...Accounting for uncertainty in species delineation during the analysis of envi...
Accounting for uncertainty in species delineation during the analysis of envi...
 
Software Measurement: Lecture 1. Measures and Metrics
Software Measurement: Lecture 1. Measures and MetricsSoftware Measurement: Lecture 1. Measures and Metrics
Software Measurement: Lecture 1. Measures and Metrics
 
Sub-Graph Finding Information over Nebula Networks
Sub-Graph Finding Information over Nebula NetworksSub-Graph Finding Information over Nebula Networks
Sub-Graph Finding Information over Nebula Networks
 
F14 lec12graphs
F14 lec12graphsF14 lec12graphs
F14 lec12graphs
 
IRJET- Review on Scheduling using Dependency Structure Matrix
IRJET-  	  Review on Scheduling using Dependency Structure MatrixIRJET-  	  Review on Scheduling using Dependency Structure Matrix
IRJET- Review on Scheduling using Dependency Structure Matrix
 
220206 transformer interpretability beyond attention visualization
220206 transformer interpretability beyond attention visualization220206 transformer interpretability beyond attention visualization
220206 transformer interpretability beyond attention visualization
 
Performance Comparision of Machine Learning Algorithms
Performance Comparision of Machine Learning AlgorithmsPerformance Comparision of Machine Learning Algorithms
Performance Comparision of Machine Learning Algorithms
 
Identifying and Resolving Consistency Issues between Model Representations
Identifying and Resolving Consistency Issues between Model RepresentationsIdentifying and Resolving Consistency Issues between Model Representations
Identifying and Resolving Consistency Issues between Model Representations
 
Data Science as a Career and Intro to R
Data Science as a Career and Intro to RData Science as a Career and Intro to R
Data Science as a Career and Intro to R
 
ProDebt's Lessons Learned from Planning Technical Debt Strategically
ProDebt's Lessons Learned from Planning Technical Debt StrategicallyProDebt's Lessons Learned from Planning Technical Debt Strategically
ProDebt's Lessons Learned from Planning Technical Debt Strategically
 
Predicting Defects Using Change Genealogies (ISSE 2013)
Predicting Defects Using Change Genealogies (ISSE 2013)Predicting Defects Using Change Genealogies (ISSE 2013)
Predicting Defects Using Change Genealogies (ISSE 2013)
 
Scalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs
Scalable and Efficient Algorithms for Analysis of Massive, Streaming GraphsScalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs
Scalable and Efficient Algorithms for Analysis of Massive, Streaming Graphs
 
ExplainingMLModels.pdf
ExplainingMLModels.pdfExplainingMLModels.pdf
ExplainingMLModels.pdf
 

Dernier

unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxBkGupta21
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxLoriGlavin3
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxLoriGlavin3
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxLoriGlavin3
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxLoriGlavin3
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 

Dernier (20)

unit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptxunit 4 immunoblotting technique complete.pptx
unit 4 immunoblotting technique complete.pptx
 
Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptxUse of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
Use of FIDO in the Payments and Identity Landscape: FIDO Paris Seminar.pptx
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptxThe Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
The Role of FIDO in a Cyber Secure Netherlands: FIDO Paris Seminar.pptx
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptxDigital Identity is Under Attack: FIDO Paris Seminar.pptx
Digital Identity is Under Attack: FIDO Paris Seminar.pptx
 
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptxPasskey Providers and Enabling Portability: FIDO Paris Seminar.pptx
Passkey Providers and Enabling Portability: FIDO Paris Seminar.pptx
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 

Toward a Recommendation System for focusing Testing

  • 1. Sègla Kpodjedo, Filippo Ricca, Philippe Galinier and Giuliano (Giulio) Antoniol RSSE 2008, Atlanta   Toward a Recommendation System for focusing Testing
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Class Diagrams are labeled graphs RSSE 2008, Atlanta Classes: Nodes labeled with properties (class name, attributes, methods …) Relations: Labeled Edges (i.e., association, aggregation or inheritance)
  • 7.
  • 8. Evolution Cost RSSE 2008, Atlanta Snapshot N Snapshot N-1 Snapshot 1 1 2 3 4 5 … 6 2 8
  • 9.
  • 10.
  • 11.
  • 12. Evolution Cost RSSE 2008, Atlanta Snapshot N Snapshot N-1 Snapshot 1 1 2 3 4 5 … 6 2 8
  • 13.
  • 14. Mozilla Case Study: Results RSSE 2008, Atlanta
  • 15.
  • 16.