SlideShare a Scribd company logo
1 of 35
Sung Kim and Michael D. Ernst {hunkim, mernst}@csail.mit.edu CSAIL  • MIT
Sung Kim and Michael D. Ernst {hunkim, mernst}@csail.mit.edu CSAIL  • MIT
Static analysis I can find  bugs  for you!
Bug-finding tool
Warnings
Warning examples
Bug candidate - Warning Category : Style -  empty try/catch Priority : 3
Are warnings useful? Are all warnings important to be fixed? Does tools’ prioritization help to identify important ones?
Experimental methodology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Subject tools and projects ,[object Object],[object Object],[object Object],Projects Software type # of revisions Period LOC(K) Columba Email client 1,703 2002/11~2004/06 121 Lucene Search engine 929 2001/10~2006/11 37 Scarab Issue tracker 870 2002/01~2006/11 64
Buggy lines Rev  100 …… Mark as a  buggy   line   if a line is changed in future fixes.
Change logs indicate fixes …… [bugfix]  Fixed bug #3576 fix File 1 Non-fix Non-fix Non-fix Non-fix
Buggy lines Rev 199 Rev 200 Fix If (x=y && Z=x) {
Buggy lines Rev 199 Rev 198 If (x=y && Z=x) { If (x=y && Z=x) { marks Fix
Buggy lines Rev  100 Rev  200 Rev  199 Rev  198 ……
Warning evaluation Rev 100 50% of warnings are fixed later
Evaluate warnings at revision n/2 Rev n/2 Rev n Mark buggy lines Rev n/2+1
Are warnings important? NO only 3~18% are fixed!
Does tools’ prioritization help? NO Tools’ priority 1 warnings  are not better.
Does tools’ prioritization help?
Does tools’ prioritization help?
Does tools’ prioritization help? No, high priority warnings do not have high precision!
…… Our solution: using change  history Warning A File Warning B Foo ……
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Reprioritization algorithm
Reprioritization algorithm …… Score(A)  += non-fix-weight (0.1) Score(A) += fix-weight (0.9) Fixed bug #3576 Score(A) += Non-fix-weight(0.1) Score(A)=1.1  fix Score(A)=0 Score(A)=0.1 Score(A)=1 Warning A  File 1 Warning B Foo …… Score(B)=0
Evaluation Rev n/2-1 Rev n/2 Rev 1 Train warnings Rev n Mark buggy lines Rev n/2+1
Comparison ,[object Object],[object Object],[object Object]
Columba
Columba
Lucene
Lucene
Scarab
Scarab
Summary
Sung Kim and Michael D. Ernst {hunkim, mernst}@csail.mit.edu CSAIL  • MIT

More Related Content

Similar to Which Warnings Should I Fix First?

IMAGE CLASSIFICATION USING DIFFERENT CLASSICAL APPROACHES
IMAGE CLASSIFICATION USING DIFFERENT CLASSICAL APPROACHESIMAGE CLASSIFICATION USING DIFFERENT CLASSICAL APPROACHES
IMAGE CLASSIFICATION USING DIFFERENT CLASSICAL APPROACHESVikash Kumar
 
SE-CyclomaticComplexityand Testing.ppt
SE-CyclomaticComplexityand Testing.pptSE-CyclomaticComplexityand Testing.ppt
SE-CyclomaticComplexityand Testing.pptvishal choudhary
 
Battista Biggio @ MCS 2015, June 29 - July 1, Guenzburg, Germany: "1.5-class ...
Battista Biggio @ MCS 2015, June 29 - July 1, Guenzburg, Germany: "1.5-class ...Battista Biggio @ MCS 2015, June 29 - July 1, Guenzburg, Germany: "1.5-class ...
Battista Biggio @ MCS 2015, June 29 - July 1, Guenzburg, Germany: "1.5-class ...Pluribus One
 
Patterns for Extracting High Level Information from Bug Reports
Patterns for Extracting High Level Information from Bug ReportsPatterns for Extracting High Level Information from Bug Reports
Patterns for Extracting High Level Information from Bug ReportsRodrigo Rocha
 
Threshold for Size and Complexity Metrics: A Case Study from the Perspective ...
Threshold for Size and Complexity Metrics: A Case Study from the Perspective ...Threshold for Size and Complexity Metrics: A Case Study from the Perspective ...
Threshold for Size and Complexity Metrics: A Case Study from the Perspective ...SAIL_QU
 
FMEA and FMECA
FMEA and FMECAFMEA and FMECA
FMEA and FMECASjur
 
Integrated Risk Management
Integrated Risk ManagementIntegrated Risk Management
Integrated Risk ManagementOmicron Systems
 
Sarcia idoese08
Sarcia idoese08Sarcia idoese08
Sarcia idoese08asarcia
 
A Survey on Bug Tracking System for Effective Bug Clearance
A Survey on Bug Tracking System for Effective Bug ClearanceA Survey on Bug Tracking System for Effective Bug Clearance
A Survey on Bug Tracking System for Effective Bug ClearanceIRJET Journal
 
130531 francis nahm - on the evolution of antipatterns genealogies
130531   francis nahm - on the evolution of antipatterns genealogies130531   francis nahm - on the evolution of antipatterns genealogies
130531 francis nahm - on the evolution of antipatterns genealogiesPtidej Team
 
Risk Management Insight FAIR(FACTOR AN.docx
Risk Management Insight        FAIR(FACTOR AN.docxRisk Management Insight        FAIR(FACTOR AN.docx
Risk Management Insight FAIR(FACTOR AN.docxtarifarmarie
 
Data Science Interview Questions | Data Science Interview Questions And Answe...
Data Science Interview Questions | Data Science Interview Questions And Answe...Data Science Interview Questions | Data Science Interview Questions And Answe...
Data Science Interview Questions | Data Science Interview Questions And Answe...Simplilearn
 
USING CATEGORICAL FEATURES IN MINING BUG TRACKING SYSTEMS TO ASSIGN BUG REPORTS
USING CATEGORICAL FEATURES IN MINING BUG TRACKING SYSTEMS TO ASSIGN BUG REPORTSUSING CATEGORICAL FEATURES IN MINING BUG TRACKING SYSTEMS TO ASSIGN BUG REPORTS
USING CATEGORICAL FEATURES IN MINING BUG TRACKING SYSTEMS TO ASSIGN BUG REPORTSijseajournal
 
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
 
Intern Poster Presentation
Intern Poster PresentationIntern Poster Presentation
Intern Poster PresentationDaniel Lee
 
20050314 specification based regression test selection with risk analysis
20050314 specification based regression test selection with risk analysis20050314 specification based regression test selection with risk analysis
20050314 specification based regression test selection with risk analysisWill Shen
 
Real-time Ranking of Electrical Feeders using Expert Advice
Real-time Ranking of Electrical Feeders using Expert AdviceReal-time Ranking of Electrical Feeders using Expert Advice
Real-time Ranking of Electrical Feeders using Expert AdviceHila Becker
 
A Critique On Code Critics
A Critique On Code CriticsA Critique On Code Critics
A Critique On Code CriticsLaurie Smith
 

Similar to Which Warnings Should I Fix First? (20)

IMAGE CLASSIFICATION USING DIFFERENT CLASSICAL APPROACHES
IMAGE CLASSIFICATION USING DIFFERENT CLASSICAL APPROACHESIMAGE CLASSIFICATION USING DIFFERENT CLASSICAL APPROACHES
IMAGE CLASSIFICATION USING DIFFERENT CLASSICAL APPROACHES
 
SE-CyclomaticComplexityand Testing.ppt
SE-CyclomaticComplexityand Testing.pptSE-CyclomaticComplexityand Testing.ppt
SE-CyclomaticComplexityand Testing.ppt
 
Battista Biggio @ MCS 2015, June 29 - July 1, Guenzburg, Germany: "1.5-class ...
Battista Biggio @ MCS 2015, June 29 - July 1, Guenzburg, Germany: "1.5-class ...Battista Biggio @ MCS 2015, June 29 - July 1, Guenzburg, Germany: "1.5-class ...
Battista Biggio @ MCS 2015, June 29 - July 1, Guenzburg, Germany: "1.5-class ...
 
Patterns for Extracting High Level Information from Bug Reports
Patterns for Extracting High Level Information from Bug ReportsPatterns for Extracting High Level Information from Bug Reports
Patterns for Extracting High Level Information from Bug Reports
 
Threshold for Size and Complexity Metrics: A Case Study from the Perspective ...
Threshold for Size and Complexity Metrics: A Case Study from the Perspective ...Threshold for Size and Complexity Metrics: A Case Study from the Perspective ...
Threshold for Size and Complexity Metrics: A Case Study from the Perspective ...
 
FMEA and FMECA
FMEA and FMECAFMEA and FMECA
FMEA and FMECA
 
Integrated Risk Management
Integrated Risk ManagementIntegrated Risk Management
Integrated Risk Management
 
Scalable machine learning
Scalable machine learningScalable machine learning
Scalable machine learning
 
Sarcia idoese08
Sarcia idoese08Sarcia idoese08
Sarcia idoese08
 
A Survey on Bug Tracking System for Effective Bug Clearance
A Survey on Bug Tracking System for Effective Bug ClearanceA Survey on Bug Tracking System for Effective Bug Clearance
A Survey on Bug Tracking System for Effective Bug Clearance
 
130531 francis nahm - on the evolution of antipatterns genealogies
130531   francis nahm - on the evolution of antipatterns genealogies130531   francis nahm - on the evolution of antipatterns genealogies
130531 francis nahm - on the evolution of antipatterns genealogies
 
Risk Management Insight FAIR(FACTOR AN.docx
Risk Management Insight        FAIR(FACTOR AN.docxRisk Management Insight        FAIR(FACTOR AN.docx
Risk Management Insight FAIR(FACTOR AN.docx
 
Data Science Interview Questions | Data Science Interview Questions And Answe...
Data Science Interview Questions | Data Science Interview Questions And Answe...Data Science Interview Questions | Data Science Interview Questions And Answe...
Data Science Interview Questions | Data Science Interview Questions And Answe...
 
USING CATEGORICAL FEATURES IN MINING BUG TRACKING SYSTEMS TO ASSIGN BUG REPORTS
USING CATEGORICAL FEATURES IN MINING BUG TRACKING SYSTEMS TO ASSIGN BUG REPORTSUSING CATEGORICAL FEATURES IN MINING BUG TRACKING SYSTEMS TO ASSIGN BUG REPORTS
USING CATEGORICAL FEATURES IN MINING BUG TRACKING SYSTEMS TO ASSIGN BUG REPORTS
 
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
 
Intern Poster Presentation
Intern Poster PresentationIntern Poster Presentation
Intern Poster Presentation
 
20050314 specification based regression test selection with risk analysis
20050314 specification based regression test selection with risk analysis20050314 specification based regression test selection with risk analysis
20050314 specification based regression test selection with risk analysis
 
Real-time Ranking of Electrical Feeders using Expert Advice
Real-time Ranking of Electrical Feeders using Expert AdviceReal-time Ranking of Electrical Feeders using Expert Advice
Real-time Ranking of Electrical Feeders using Expert Advice
 
A Critique On Code Critics
A Critique On Code CriticsA Critique On Code Critics
A Critique On Code Critics
 
Testing
TestingTesting
Testing
 

More from Sung Kim

DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence LearningDeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence LearningSung Kim
 
Deep API Learning (FSE 2016)
Deep API Learning (FSE 2016)Deep API Learning (FSE 2016)
Deep API Learning (FSE 2016)Sung Kim
 
Time series classification
Time series classificationTime series classification
Time series classificationSung Kim
 
Tensor board
Tensor boardTensor board
Tensor boardSung Kim
 
REMI: Defect Prediction for Efficient API Testing (

ESEC/FSE 2015, Industria...
REMI: Defect Prediction for Efficient API Testing (

ESEC/FSE 2015, Industria...REMI: Defect Prediction for Efficient API Testing (

ESEC/FSE 2015, Industria...
REMI: Defect Prediction for Efficient API Testing (

ESEC/FSE 2015, Industria...Sung Kim
 
Heterogeneous Defect Prediction (

ESEC/FSE 2015)
Heterogeneous Defect Prediction (

ESEC/FSE 2015)Heterogeneous Defect Prediction (

ESEC/FSE 2015)
Heterogeneous Defect Prediction (

ESEC/FSE 2015)Sung Kim
 
A Survey on Automatic Software Evolution Techniques
A Survey on Automatic Software Evolution TechniquesA Survey on Automatic Software Evolution Techniques
A Survey on Automatic Software Evolution TechniquesSung Kim
 
Crowd debugging (FSE 2015)
Crowd debugging (FSE 2015)Crowd debugging (FSE 2015)
Crowd debugging (FSE 2015)Sung Kim
 
Software Defect Prediction on Unlabeled Datasets
Software Defect Prediction on Unlabeled DatasetsSoftware Defect Prediction on Unlabeled Datasets
Software Defect Prediction on Unlabeled DatasetsSung Kim
 
Partitioning Composite Code Changes to Facilitate Code Review (MSR2015)
Partitioning Composite Code Changes to Facilitate Code Review (MSR2015)Partitioning Composite Code Changes to Facilitate Code Review (MSR2015)
Partitioning Composite Code Changes to Facilitate Code Review (MSR2015)Sung Kim
 
Automatically Generated Patches as Debugging Aids: A Human Study (FSE 2014)
Automatically Generated Patches as Debugging Aids: A Human Study (FSE 2014)Automatically Generated Patches as Debugging Aids: A Human Study (FSE 2014)
Automatically Generated Patches as Debugging Aids: A Human Study (FSE 2014)Sung Kim
 
How We Get There: A Context-Guided Search Strategy in Concolic Testing (FSE 2...
How We Get There: A Context-Guided Search Strategy in Concolic Testing (FSE 2...How We Get There: A Context-Guided Search Strategy in Concolic Testing (FSE 2...
How We Get There: A Context-Guided Search Strategy in Concolic Testing (FSE 2...Sung Kim
 
CrashLocator: Locating Crashing Faults Based on Crash Stacks (ISSTA 2014)
CrashLocator: Locating Crashing Faults Based on Crash Stacks (ISSTA 2014)CrashLocator: Locating Crashing Faults Based on Crash Stacks (ISSTA 2014)
CrashLocator: Locating Crashing Faults Based on Crash Stacks (ISSTA 2014)Sung Kim
 
Source code comprehension on evolving software
Source code comprehension on evolving softwareSource code comprehension on evolving software
Source code comprehension on evolving softwareSung Kim
 
A Survey on Dynamic Symbolic Execution for Automatic Test Generation
A Survey on  Dynamic Symbolic Execution  for Automatic Test GenerationA Survey on  Dynamic Symbolic Execution  for Automatic Test Generation
A Survey on Dynamic Symbolic Execution for Automatic Test GenerationSung Kim
 
Survey on Software Defect Prediction
Survey on Software Defect PredictionSurvey on Software Defect Prediction
Survey on Software Defect PredictionSung Kim
 
MSR2014 opening
MSR2014 openingMSR2014 opening
MSR2014 openingSung Kim
 
Personalized Defect Prediction
Personalized Defect PredictionPersonalized Defect Prediction
Personalized Defect PredictionSung Kim
 
STAR: Stack Trace based Automatic Crash Reproduction
STAR: Stack Trace based Automatic Crash ReproductionSTAR: Stack Trace based Automatic Crash Reproduction
STAR: Stack Trace based Automatic Crash ReproductionSung Kim
 
Transfer defect learning
Transfer defect learningTransfer defect learning
Transfer defect learningSung Kim
 

More from Sung Kim (20)

DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence LearningDeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
 
Deep API Learning (FSE 2016)
Deep API Learning (FSE 2016)Deep API Learning (FSE 2016)
Deep API Learning (FSE 2016)
 
Time series classification
Time series classificationTime series classification
Time series classification
 
Tensor board
Tensor boardTensor board
Tensor board
 
REMI: Defect Prediction for Efficient API Testing (

ESEC/FSE 2015, Industria...
REMI: Defect Prediction for Efficient API Testing (

ESEC/FSE 2015, Industria...REMI: Defect Prediction for Efficient API Testing (

ESEC/FSE 2015, Industria...
REMI: Defect Prediction for Efficient API Testing (

ESEC/FSE 2015, Industria...
 
Heterogeneous Defect Prediction (

ESEC/FSE 2015)
Heterogeneous Defect Prediction (

ESEC/FSE 2015)Heterogeneous Defect Prediction (

ESEC/FSE 2015)
Heterogeneous Defect Prediction (

ESEC/FSE 2015)
 
A Survey on Automatic Software Evolution Techniques
A Survey on Automatic Software Evolution TechniquesA Survey on Automatic Software Evolution Techniques
A Survey on Automatic Software Evolution Techniques
 
Crowd debugging (FSE 2015)
Crowd debugging (FSE 2015)Crowd debugging (FSE 2015)
Crowd debugging (FSE 2015)
 
Software Defect Prediction on Unlabeled Datasets
Software Defect Prediction on Unlabeled DatasetsSoftware Defect Prediction on Unlabeled Datasets
Software Defect Prediction on Unlabeled Datasets
 
Partitioning Composite Code Changes to Facilitate Code Review (MSR2015)
Partitioning Composite Code Changes to Facilitate Code Review (MSR2015)Partitioning Composite Code Changes to Facilitate Code Review (MSR2015)
Partitioning Composite Code Changes to Facilitate Code Review (MSR2015)
 
Automatically Generated Patches as Debugging Aids: A Human Study (FSE 2014)
Automatically Generated Patches as Debugging Aids: A Human Study (FSE 2014)Automatically Generated Patches as Debugging Aids: A Human Study (FSE 2014)
Automatically Generated Patches as Debugging Aids: A Human Study (FSE 2014)
 
How We Get There: A Context-Guided Search Strategy in Concolic Testing (FSE 2...
How We Get There: A Context-Guided Search Strategy in Concolic Testing (FSE 2...How We Get There: A Context-Guided Search Strategy in Concolic Testing (FSE 2...
How We Get There: A Context-Guided Search Strategy in Concolic Testing (FSE 2...
 
CrashLocator: Locating Crashing Faults Based on Crash Stacks (ISSTA 2014)
CrashLocator: Locating Crashing Faults Based on Crash Stacks (ISSTA 2014)CrashLocator: Locating Crashing Faults Based on Crash Stacks (ISSTA 2014)
CrashLocator: Locating Crashing Faults Based on Crash Stacks (ISSTA 2014)
 
Source code comprehension on evolving software
Source code comprehension on evolving softwareSource code comprehension on evolving software
Source code comprehension on evolving software
 
A Survey on Dynamic Symbolic Execution for Automatic Test Generation
A Survey on  Dynamic Symbolic Execution  for Automatic Test GenerationA Survey on  Dynamic Symbolic Execution  for Automatic Test Generation
A Survey on Dynamic Symbolic Execution for Automatic Test Generation
 
Survey on Software Defect Prediction
Survey on Software Defect PredictionSurvey on Software Defect Prediction
Survey on Software Defect Prediction
 
MSR2014 opening
MSR2014 openingMSR2014 opening
MSR2014 opening
 
Personalized Defect Prediction
Personalized Defect PredictionPersonalized Defect Prediction
Personalized Defect Prediction
 
STAR: Stack Trace based Automatic Crash Reproduction
STAR: Stack Trace based Automatic Crash ReproductionSTAR: Stack Trace based Automatic Crash Reproduction
STAR: Stack Trace based Automatic Crash Reproduction
 
Transfer defect learning
Transfer defect learningTransfer defect learning
Transfer defect learning
 

Recently uploaded

CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxnull - The Open Security Community
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsMemoori
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsHyundai Motor Group
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024BookNet Canada
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 

Recently uploaded (20)

CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptxMaking_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
Making_way_through_DLL_hollowing_inspite_of_CFG_by_Debjeet Banerjee.pptx
 
AI as an Interface for Commercial Buildings
AI as an Interface for Commercial BuildingsAI as an Interface for Commercial Buildings
AI as an Interface for Commercial Buildings
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
New from BookNet Canada for 2024: BNC BiblioShare - Tech Forum 2024
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 

Which Warnings Should I Fix First?

Editor's Notes

  1. We are going to use History since it gives the answer