This document discusses data flow testing, which involves selecting test paths based on data flow criteria to verify that variables are defined and used correctly. It covers key topics such as:
- Data flow graphs, which model variable definitions, uses, and flows through a program.
- Data flow testing criteria like all-defs, all-c-uses, and all-du-paths that require covering different definition and use patterns.
- Terms used in data flow testing like def-clear paths, global definitions, and du-paths that are important for selecting test paths.
The overall goal of data flow testing is to select test cases that execute paths where variables are defined and subsequently used to verify the correctness of
The document discusses data flow testing, which involves analyzing how data values flow between operations in a program. It describes constructing a data flow graph to model these flows and defines various data flow testing criteria like all-defs and all-uses that aim to execute specific paths in the graph related to variable definitions and uses. The goal of data flow testing is to systematically verify that variables are assigned correct values and their values are used as intended.
The document discusses various whitebox testing techniques including statement coverage, branch coverage, condition coverage, path coverage, and data flow-based testing. Statement coverage requires designing test cases such that every statement in a program is executed at least once. Branch coverage requires test cases where different branch conditions are given true and false values. Path coverage requires test cases such that all linearly independent paths in a program are executed based on the program's control flow graph. Data flow-based testing focuses on connections between variable definitions and uses.
The chapter discusses control flow testing, which involves generating test inputs to execute different paths through a program. It covers generating a control flow graph to represent program flow, criteria for selecting paths like statement and branch coverage, and techniques for producing test data to execute specific paths, including solving path conditions. The goal is to design inputs that exercise the structure and logic of the program based on its control flow.
The document discusses various software testing techniques, including white-box testing and black-box testing. It provides characteristics of testable software such as being operable, observable, controllable, decomposable, simple, stable, and understandable. It also discusses test characteristics such as having a high probability of finding errors, not being redundant, and being "best of breed". Specific white-box and black-box testing techniques are then outlined.
White Box testing by Pankaj Thakur, NITTTR ChandigarhPankaj Thakur
The document provides an overview of white box testing techniques. It begins with an introduction to white box testing and its various forms. It then compares white box and black box testing and discusses cyclomatic complexity. The document outlines several white box testing techniques including control flow testing, data flow testing, slice based testing, and mutation testing. It discusses the advantages and disadvantages of white box testing and provides examples to illustrate control flow testing, branch coverage, condition coverage, and path coverage. The document also briefly covers loop testing and data flow testing.
The document discusses various software testing techniques, including white-box testing and black-box testing. It provides details on characteristics of testable software, test characteristics, unit testing techniques like basis path testing and flow graph analysis, and methods for testing different types of loops and functions. The goal of the techniques is to design test cases that exercise all paths and conditions in the code to uncover errors.
The document discusses software processes and iterative process models. It describes incremental delivery and spiral development as two iterative process models. Incremental delivery breaks development into increments with each delivering part of the functionality. Spiral development represents the process as a spiral with phases addressing objectives, risks, development and planning. Both models allow for iteration and incorporate user feedback earlier.
The document discusses various software testing techniques for object-oriented systems, including white-box testing, black-box testing, and object-oriented specific methods. It covers topics such as unit testing, integration testing, equivalence partitioning, boundary value analysis, and fault-based versus scenario-based testing. The overall goal is to uncover errors in classes, class collaboration, and subsystem communication through different levels of testing.
The document discusses data flow testing, which involves analyzing how data values flow between operations in a program. It describes constructing a data flow graph to model these flows and defines various data flow testing criteria like all-defs and all-uses that aim to execute specific paths in the graph related to variable definitions and uses. The goal of data flow testing is to systematically verify that variables are assigned correct values and their values are used as intended.
The document discusses various whitebox testing techniques including statement coverage, branch coverage, condition coverage, path coverage, and data flow-based testing. Statement coverage requires designing test cases such that every statement in a program is executed at least once. Branch coverage requires test cases where different branch conditions are given true and false values. Path coverage requires test cases such that all linearly independent paths in a program are executed based on the program's control flow graph. Data flow-based testing focuses on connections between variable definitions and uses.
The chapter discusses control flow testing, which involves generating test inputs to execute different paths through a program. It covers generating a control flow graph to represent program flow, criteria for selecting paths like statement and branch coverage, and techniques for producing test data to execute specific paths, including solving path conditions. The goal is to design inputs that exercise the structure and logic of the program based on its control flow.
The document discusses various software testing techniques, including white-box testing and black-box testing. It provides characteristics of testable software such as being operable, observable, controllable, decomposable, simple, stable, and understandable. It also discusses test characteristics such as having a high probability of finding errors, not being redundant, and being "best of breed". Specific white-box and black-box testing techniques are then outlined.
White Box testing by Pankaj Thakur, NITTTR ChandigarhPankaj Thakur
The document provides an overview of white box testing techniques. It begins with an introduction to white box testing and its various forms. It then compares white box and black box testing and discusses cyclomatic complexity. The document outlines several white box testing techniques including control flow testing, data flow testing, slice based testing, and mutation testing. It discusses the advantages and disadvantages of white box testing and provides examples to illustrate control flow testing, branch coverage, condition coverage, and path coverage. The document also briefly covers loop testing and data flow testing.
The document discusses various software testing techniques, including white-box testing and black-box testing. It provides details on characteristics of testable software, test characteristics, unit testing techniques like basis path testing and flow graph analysis, and methods for testing different types of loops and functions. The goal of the techniques is to design test cases that exercise all paths and conditions in the code to uncover errors.
The document discusses software processes and iterative process models. It describes incremental delivery and spiral development as two iterative process models. Incremental delivery breaks development into increments with each delivering part of the functionality. Spiral development represents the process as a spiral with phases addressing objectives, risks, development and planning. Both models allow for iteration and incorporate user feedback earlier.
The document discusses various software testing techniques for object-oriented systems, including white-box testing, black-box testing, and object-oriented specific methods. It covers topics such as unit testing, integration testing, equivalence partitioning, boundary value analysis, and fault-based versus scenario-based testing. The overall goal is to uncover errors in classes, class collaboration, and subsystem communication through different levels of testing.
The document discusses software reliability, defining it as the probability of failure-free operation over a specified time period or the failure intensity measure. It covers factors that influence reliability like faults, development processes, and operational profiles. The chapter also presents two definitions of reliability and discusses applications of reliability metrics. Finally, it introduces two reliability models - the basic model and logarithmic model - that describe the relationship between failure intensity and time with assumptions.
Automating Speed: A Proven Approach to Preventing Performance Regressions in ...HostedbyConfluent
"Regular performance testing is one of the pillars of Kafka Streams’ reliability and efficiency. Beyond ensuring dependable releases, regular performance testing supports engineers in new feature development with the ability to easily test the performance impact of their features, compare different approaches, etc.
In this session, Alex and John share their experience from developing, using, and maintaining a performance testing framework for Kafka Streams that has prevented multiple performance regressions over the last 5 years. They cover guiding principles and architecture, how to ensure statistical significance and stability of results, and how to automate regression detection for actionable notifications.
This talk sheds light on how Apache Kafka is able to foster a vibrant open-source community while maintaining a high performance bar across many years and releases. It also empowers performance-minded engineers to avoid common pitfalls and bring high-quality performance testing to their own systems."
The document discusses various techniques for software testing including:
1) Software testing verifies that software meets requirements and identifies defects. It can be implemented at any stage but most occurs after coding.
2) There are various types of testing like unit, integration, system, and acceptance testing that check different parts of the software.
3) Testing approaches include white-box (examines internal structure) and black-box (examines external behavior) techniques. Common white-box techniques involve testing all paths and boundaries.
Software Engineering Important Short Question for ExamsMuhammadTalha436
The document discusses various topics related to software engineering including:
1. The software development life cycle (SDLC) and its phases like requirements, design, implementation, testing, etc.
2. The waterfall model and its phases from modeling to maintenance.
3. The purpose of feasibility studies, data flow diagrams, and entity relationship diagrams.
4. Different types of testing done during the testing phase like unit, integration, system, black box and white box testing.
A WHITE BOX TESTING TECHNIQUE IN SOFTWARE TESTING : BASIS PATH TESTINGJournal For Research
Software Testing is the emerging and important field of IT industry because without the concept of software testing, there is no quality software which is produced in the industry. Verification and Validation are the two basic building blocks of software testing process. There are various testing tactics, strategies and methodologies to test the software. Path Testing is one such a methodology used to test the software. Basically, path testing is a type of White Box/ Glass Box/ Open Box/ Structural testing technique. It generates the test suite based on the number of independent paths that are presented in a program by drawing the Control Flow Graph of an application. The basic objective of this paper is to acquire the knowledge on the basis path testing by considering a sample of code and the implementation of path testing is described with its merits and demerits.
This document discusses the implementation of an algorithm for logic-based software testing using cause-effect graphing and genetic algorithms. It provides an overview of logic-based testing techniques, cause-effect graphing, applying genetic algorithms to software testing, and the commonly used process for constructing cause-effect graphs. It also analyzes some drawbacks of Myers' original cause-effect graphing approach and proposes solutions. The document then demonstrates implementing the algorithm on a sample problem of calculating car insurance premiums based on gender and age, generating the corresponding cause-effect graph and decision table.
Project where data sets of different drivers with different driving behavior were classified with linear regression and machine learning to train and test data.
The document discusses various techniques for functional testing, including boundary value testing, equivalence class testing, decision table-based testing, and robustness testing. It provides details on decision tables, including their structure, usage, examples, and methodology for development. Decision tables present conditions and corresponding actions in a matrix format and can be used to both specify complex program logic and generate test cases.
These slides gives you information about path testing and data flow testing in software testing. These slides will be helpful for Engineering, CSE students.
The document summarizes various software testing techniques, including:
- White-box testing techniques like cyclomatic complexity and control flow graph analysis to derive test cases.
- Black-box techniques like equivalence partitioning and boundary value analysis to design test cases based on valid and invalid input conditions.
- The goal of testing is to systematically uncover errors by executing all independent paths and boundary values through a program.
The document summarizes various software testing techniques including:
- White-box testing techniques like cyclomatic complexity and control flow graph analysis to derive test cases.
- Black-box techniques like equivalence partitioning to divide inputs into classes and boundary value analysis to test boundary conditions.
- The goal of testing is to systematically uncover errors with minimum time by designing test cases to execute all program paths and boundary conditions.
In this session you will learn:
Test Case Design and Techniques
Black-box: Three major approaches
Steps for drawing cause-Effect Diagram:
Behavior Testing
Random Testing
White Box Techniques
Path Testing
Statement Coverage
Data Flow Testing
For more information, click here:
https://www.mindsmapped.com/courses/quality-assurance/software-testing-tutorial/
In this session you will learn:
Test Case Design and Techniques
Black-box: Three major approaches
Steps for drawing cause-Effect Diagram:
Behavior Testing
Random Testing
White Box Techniques
Path Testing
Statement Coverage
Data Flow Testing
For more information: https://www.mindsmapped.com/courses/quality-assurance/qa-software-testing-training-for-beginners/
Find out more about quality assurance training and specifically about Test Case Design and Techniques. Topics covered in this session are:
Test Case Design and Techniques
Black-box: Three major approaches
Steps for drawing cause-Effect Diagram:
Behavior Testing
Random Testing
White Box Techniques
Path Testing
Statement Coverage
Data Flow Testing
For more information, visit: https://www.mindsmapped.com/courses/quality-assurance/quality-assurance-training-learn-manual-and-automation-testing/
In this quality assurance training session, you will learn Test case design. Topics covered in this course are:
• Test Case Design and Techniques
• Black-box: Three major approaches
• Steps for drawing cause-Effect Diagram:
• Behavior Testing
• Random Testing
• White Box Techniques
• Path Testing
• Statement Coverage
• Data Flow Testing
To know more, visit this link: https://www.mindsmapped.com/courses/quality-assurance/software-testing-quality-assurance-qa-training-with-hands-on-exercises/
In this quality assurance training, you will learn Test Case Design and Technique. Topics covered in this session are:
• Test Case Design and Techniques
• Black-box: Three major approaches
• Steps for drawing cause-Effect Diagram:
• Behavior Testing
• Random Testing
• White Box Techniques
• Path Testing
• Statement Coverage
• Data Flow Testing
For more information, visit this link: https://www.mindsmapped.com/courses/quality-assurance/software-testing-training-beginners-and-intermediate-level/
This document provides an overview of requirements verification and validation techniques. It discusses simple checks, prototyping, functional test design, user manual development, and reviews/inspections as techniques. It also covers model-based or formal verification and validation. The document emphasizes that verification and validation should be performed at every stage of requirements development from elicitation to specification.
1. Basis path testing is a white-box testing technique that aims to design test cases to execute all independent paths in a program. It uses control flow graphs and cyclomatic complexity metrics to determine the minimum number of tests required.
2. Key steps include drawing a control flow graph, calculating cyclomatic complexity to determine the number of independent paths, identifying a basis set of paths, and generating test cases to execute each path. This helps reduce redundant testing and maximize code coverage.
3. The document also discusses other software testing techniques like condition testing, data flow testing, loop testing, equivalence partitioning, and path testing. It provides details on the objectives, principles, and processes involved in each technique.
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
The document discusses software reliability, defining it as the probability of failure-free operation over a specified time period or the failure intensity measure. It covers factors that influence reliability like faults, development processes, and operational profiles. The chapter also presents two definitions of reliability and discusses applications of reliability metrics. Finally, it introduces two reliability models - the basic model and logarithmic model - that describe the relationship between failure intensity and time with assumptions.
Automating Speed: A Proven Approach to Preventing Performance Regressions in ...HostedbyConfluent
"Regular performance testing is one of the pillars of Kafka Streams’ reliability and efficiency. Beyond ensuring dependable releases, regular performance testing supports engineers in new feature development with the ability to easily test the performance impact of their features, compare different approaches, etc.
In this session, Alex and John share their experience from developing, using, and maintaining a performance testing framework for Kafka Streams that has prevented multiple performance regressions over the last 5 years. They cover guiding principles and architecture, how to ensure statistical significance and stability of results, and how to automate regression detection for actionable notifications.
This talk sheds light on how Apache Kafka is able to foster a vibrant open-source community while maintaining a high performance bar across many years and releases. It also empowers performance-minded engineers to avoid common pitfalls and bring high-quality performance testing to their own systems."
The document discusses various techniques for software testing including:
1) Software testing verifies that software meets requirements and identifies defects. It can be implemented at any stage but most occurs after coding.
2) There are various types of testing like unit, integration, system, and acceptance testing that check different parts of the software.
3) Testing approaches include white-box (examines internal structure) and black-box (examines external behavior) techniques. Common white-box techniques involve testing all paths and boundaries.
Software Engineering Important Short Question for ExamsMuhammadTalha436
The document discusses various topics related to software engineering including:
1. The software development life cycle (SDLC) and its phases like requirements, design, implementation, testing, etc.
2. The waterfall model and its phases from modeling to maintenance.
3. The purpose of feasibility studies, data flow diagrams, and entity relationship diagrams.
4. Different types of testing done during the testing phase like unit, integration, system, black box and white box testing.
A WHITE BOX TESTING TECHNIQUE IN SOFTWARE TESTING : BASIS PATH TESTINGJournal For Research
Software Testing is the emerging and important field of IT industry because without the concept of software testing, there is no quality software which is produced in the industry. Verification and Validation are the two basic building blocks of software testing process. There are various testing tactics, strategies and methodologies to test the software. Path Testing is one such a methodology used to test the software. Basically, path testing is a type of White Box/ Glass Box/ Open Box/ Structural testing technique. It generates the test suite based on the number of independent paths that are presented in a program by drawing the Control Flow Graph of an application. The basic objective of this paper is to acquire the knowledge on the basis path testing by considering a sample of code and the implementation of path testing is described with its merits and demerits.
This document discusses the implementation of an algorithm for logic-based software testing using cause-effect graphing and genetic algorithms. It provides an overview of logic-based testing techniques, cause-effect graphing, applying genetic algorithms to software testing, and the commonly used process for constructing cause-effect graphs. It also analyzes some drawbacks of Myers' original cause-effect graphing approach and proposes solutions. The document then demonstrates implementing the algorithm on a sample problem of calculating car insurance premiums based on gender and age, generating the corresponding cause-effect graph and decision table.
Project where data sets of different drivers with different driving behavior were classified with linear regression and machine learning to train and test data.
The document discusses various techniques for functional testing, including boundary value testing, equivalence class testing, decision table-based testing, and robustness testing. It provides details on decision tables, including their structure, usage, examples, and methodology for development. Decision tables present conditions and corresponding actions in a matrix format and can be used to both specify complex program logic and generate test cases.
These slides gives you information about path testing and data flow testing in software testing. These slides will be helpful for Engineering, CSE students.
The document summarizes various software testing techniques, including:
- White-box testing techniques like cyclomatic complexity and control flow graph analysis to derive test cases.
- Black-box techniques like equivalence partitioning and boundary value analysis to design test cases based on valid and invalid input conditions.
- The goal of testing is to systematically uncover errors by executing all independent paths and boundary values through a program.
The document summarizes various software testing techniques including:
- White-box testing techniques like cyclomatic complexity and control flow graph analysis to derive test cases.
- Black-box techniques like equivalence partitioning to divide inputs into classes and boundary value analysis to test boundary conditions.
- The goal of testing is to systematically uncover errors with minimum time by designing test cases to execute all program paths and boundary conditions.
In this session you will learn:
Test Case Design and Techniques
Black-box: Three major approaches
Steps for drawing cause-Effect Diagram:
Behavior Testing
Random Testing
White Box Techniques
Path Testing
Statement Coverage
Data Flow Testing
For more information, click here:
https://www.mindsmapped.com/courses/quality-assurance/software-testing-tutorial/
In this session you will learn:
Test Case Design and Techniques
Black-box: Three major approaches
Steps for drawing cause-Effect Diagram:
Behavior Testing
Random Testing
White Box Techniques
Path Testing
Statement Coverage
Data Flow Testing
For more information: https://www.mindsmapped.com/courses/quality-assurance/qa-software-testing-training-for-beginners/
Find out more about quality assurance training and specifically about Test Case Design and Techniques. Topics covered in this session are:
Test Case Design and Techniques
Black-box: Three major approaches
Steps for drawing cause-Effect Diagram:
Behavior Testing
Random Testing
White Box Techniques
Path Testing
Statement Coverage
Data Flow Testing
For more information, visit: https://www.mindsmapped.com/courses/quality-assurance/quality-assurance-training-learn-manual-and-automation-testing/
In this quality assurance training session, you will learn Test case design. Topics covered in this course are:
• Test Case Design and Techniques
• Black-box: Three major approaches
• Steps for drawing cause-Effect Diagram:
• Behavior Testing
• Random Testing
• White Box Techniques
• Path Testing
• Statement Coverage
• Data Flow Testing
To know more, visit this link: https://www.mindsmapped.com/courses/quality-assurance/software-testing-quality-assurance-qa-training-with-hands-on-exercises/
In this quality assurance training, you will learn Test Case Design and Technique. Topics covered in this session are:
• Test Case Design and Techniques
• Black-box: Three major approaches
• Steps for drawing cause-Effect Diagram:
• Behavior Testing
• Random Testing
• White Box Techniques
• Path Testing
• Statement Coverage
• Data Flow Testing
For more information, visit this link: https://www.mindsmapped.com/courses/quality-assurance/software-testing-training-beginners-and-intermediate-level/
This document provides an overview of requirements verification and validation techniques. It discusses simple checks, prototyping, functional test design, user manual development, and reviews/inspections as techniques. It also covers model-based or formal verification and validation. The document emphasizes that verification and validation should be performed at every stage of requirements development from elicitation to specification.
1. Basis path testing is a white-box testing technique that aims to design test cases to execute all independent paths in a program. It uses control flow graphs and cyclomatic complexity metrics to determine the minimum number of tests required.
2. Key steps include drawing a control flow graph, calculating cyclomatic complexity to determine the number of independent paths, identifying a basis set of paths, and generating test cases to execute each path. This helps reduce redundant testing and maximize code coverage.
3. The document also discusses other software testing techniques like condition testing, data flow testing, loop testing, equivalence partitioning, and path testing. It provides details on the objectives, principles, and processes involved in each technique.
Consistent toolbox talks are critical for maintaining workplace safety, as they provide regular opportunities to address specific hazards and reinforce safe practices.
These brief, focused sessions ensure that safety is a continual conversation rather than a one-time event, which helps keep safety protocols fresh in employees' minds. Studies have shown that shorter, more frequent training sessions are more effective for retention and behavior change compared to longer, infrequent sessions.
Engaging workers regularly, toolbox talks promote a culture of safety, empower employees to voice concerns, and ultimately reduce the likelihood of accidents and injuries on site.
The traditional method of conducting safety talks with paper documents and lengthy meetings is not only time-consuming but also less effective. Manual tracking of attendance and compliance is prone to errors and inconsistencies, leading to gaps in safety communication and potential non-compliance with OSHA regulations. Switching to a digital solution like Safelyio offers significant advantages.
Safelyio automates the delivery and documentation of safety talks, ensuring consistency and accessibility. The microlearning approach breaks down complex safety protocols into manageable, bite-sized pieces, making it easier for employees to absorb and retain information.
This method minimizes disruptions to work schedules, eliminates the hassle of paperwork, and ensures that all safety communications are tracked and recorded accurately. Ultimately, using a digital platform like Safelyio enhances engagement, compliance, and overall safety performance on site. https://safelyio.com/
Everything You Need to Know About X-Sign: The eSign Functionality of XfilesPr...XfilesPro
Wondering how X-Sign gained popularity in a quick time span? This eSign functionality of XfilesPro DocuPrime has many advancements to offer for Salesforce users. Explore them now!
Orca: Nocode Graphical Editor for Container OrchestrationPedro J. Molina
Tool demo on CEDI/SISTEDES/JISBD2024 at A Coruña, Spain. 2024.06.18
"Orca: Nocode Graphical Editor for Container Orchestration"
by Pedro J. Molina PhD. from Metadev
Why Apache Kafka Clusters Are Like Galaxies (And Other Cosmic Kafka Quandarie...Paul Brebner
Closing talk for the Performance Engineering track at Community Over Code EU (Bratislava, Slovakia, June 5 2024) https://eu.communityovercode.org/sessions/2024/why-apache-kafka-clusters-are-like-galaxies-and-other-cosmic-kafka-quandaries-explored/ Instaclustr (now part of NetApp) manages 100s of Apache Kafka clusters of many different sizes, for a variety of use cases and customers. For the last 7 years I’ve been focused outwardly on exploring Kafka application development challenges, but recently I decided to look inward and see what I could discover about the performance, scalability and resource characteristics of the Kafka clusters themselves. Using a suite of Performance Engineering techniques, I will reveal some surprising discoveries about cosmic Kafka mysteries in our data centres, related to: cluster sizes and distribution (using Zipf’s Law), horizontal vs. vertical scalability, and predicting Kafka performance using metrics, modelling and regression techniques. These insights are relevant to Kafka developers and operators.
DevOps Consulting Company | Hire DevOps Servicesseospiralmantra
Spiral Mantra excels in providing comprehensive DevOps services, including Azure and AWS DevOps solutions. As a top DevOps consulting company, we offer controlled services, cloud DevOps, and expert consulting nationwide, including Houston and New York. Our skilled DevOps engineers ensure seamless integration and optimized operations for your business. Choose Spiral Mantra for superior DevOps services.
https://www.spiralmantra.com/devops/
🏎️Tech Transformation: DevOps Insights from the Experts 👩💻campbellclarkson
Connect with fellow Trailblazers, learn from industry experts Glenda Thomson (Salesforce, Principal Technical Architect) and Will Dinn (Judo Bank, Salesforce Development Lead), and discover how to harness DevOps tools with Salesforce.
Baha Majid WCA4Z IBM Z Customer Council Boston June 2024.pdfBaha Majid
IBM watsonx Code Assistant for Z, our latest Generative AI-assisted mainframe application modernization solution. Mainframe (IBM Z) application modernization is a topic that every mainframe client is addressing to various degrees today, driven largely from digital transformation. With generative AI comes the opportunity to reimagine the mainframe application modernization experience. Infusing generative AI will enable speed and trust, help de-risk, and lower total costs associated with heavy-lifting application modernization initiatives. This document provides an overview of the IBM watsonx Code Assistant for Z which uses the power of generative AI to make it easier for developers to selectively modernize COBOL business services while maintaining mainframe qualities of service.
A Comprehensive Guide on Implementing Real-World Mobile Testing Strategies fo...kalichargn70th171
In today's fiercely competitive mobile app market, the role of the QA team is pivotal for continuous improvement and sustained success. Effective testing strategies are essential to navigate the challenges confidently and precisely. Ensuring the perfection of mobile apps before they reach end-users requires thoughtful decisions in the testing plan.
Using Query Store in Azure PostgreSQL to Understand Query PerformanceGrant Fritchey
Microsoft has added an excellent new extension in PostgreSQL on their Azure Platform. This session, presented at Posette 2024, covers what Query Store is and the types of information you can get out of it.
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
React.js, a JavaScript library developed by Facebook, has gained immense popularity for building user interfaces, especially for single-page applications. Over the years, React has evolved and expanded its capabilities, becoming a preferred choice for mobile app development. This article will explore why React.js is an excellent choice for the Best Mobile App development company in Noida.
Visit Us For Information: https://www.linkedin.com/pulse/what-makes-reactjs-stand-out-mobile-app-development-rajesh-rai-pihvf/
The Comprehensive Guide to Validating Audio-Visual Performances.pdfkalichargn70th171
Ensuring the optimal performance of your audio-visual (AV) equipment is crucial for delivering exceptional experiences. AV performance validation is a critical process that verifies the quality and functionality of your AV setup. Whether you're a content creator, a business conducting webinars, or a homeowner creating a home theater, validating your AV performance is essential.
8 Best Automated Android App Testing Tool and Framework in 2024.pdfkalichargn70th171
Regarding mobile operating systems, two major players dominate our thoughts: Android and iPhone. With Android leading the market, software development companies are focused on delivering apps compatible with this OS. Ensuring an app's functionality across various Android devices, OS versions, and hardware specifications is critical, making Android app testing essential.
A neural network is a machine learning program, or model, that makes decisions in a manner similar to the human brain, by using processes that mimic the way biological neurons work together to identify phenomena, weigh options and arrive at conclusions.
Measures in SQL (SIGMOD 2024, Santiago, Chile)Julian Hyde
SQL has attained widespread adoption, but Business Intelligence tools still use their own higher level languages based upon a multidimensional paradigm. Composable calculations are what is missing from SQL, and we propose a new kind of column, called a measure, that attaches a calculation to a table. Like regular tables, tables with measures are composable and closed when used in queries.
SQL-with-measures has the power, conciseness and reusability of multidimensional languages but retains SQL semantics. Measure invocations can be expanded in place to simple, clear SQL.
To define the evaluation semantics for measures, we introduce context-sensitive expressions (a way to evaluate multidimensional expressions that is consistent with existing SQL semantics), a concept called evaluation context, and several operations for setting and modifying the evaluation context.
A talk at SIGMOD, June 9–15, 2024, Santiago, Chile
Authors: Julian Hyde (Google) and John Fremlin (Google)
https://doi.org/10.1145/3626246.3653374
Enhanced Screen Flows UI/UX using SLDS with Tom KittPeter Caitens
Join us for an engaging session led by Flow Champion, Tom Kitt. This session will dive into a technique of enhancing the user interfaces and user experiences within Screen Flows using the Salesforce Lightning Design System (SLDS). This technique uses Native functionality, with No Apex Code, No Custom Components and No Managed Packages required.