Retesting slightly reminds regression testing but still there is a set of differences between these types of software quality checking. Retesting is more like rechecking of the earlier reproducing error. Hence its name.
(by QATestLab)
** Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training **
This Edureka PPT on "What is Regression Testing?" will help you get in-depth knowledge on regression testing in software Testing and why it is important to incorporate regression testing while testing the software.
What is Regression Testing?
Benefits of Regression Testing
When to apply Regression Testing?
Regression Testing Types
How to implement Regression Testing?
Regression Testing Techniques
Demo: How to derive a regression testing plan?
Regression Testing Challenges
Regression Testing best practices
Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
Software Testing Blog playlist: http://bit.ly/2UXwdJm
Automation in the Bug Flow - Machine Learning for Triaging and TracingMarkus Borg
Issue management is a costly part of software development. In large projects, the continuous inflow of issue reports contributes to the information overload in a project, i.e., "a state where individuals do not have time or capacity to process all available information". In issue triaging, an initial step in issue management, a developer must be able to overview existing issue reports and easily navigate the software engineering project landscape. In this presentation, we present support for two work tasks involved in issue management: 1) issue assignment and 2) change impact analysis. We use machine learning to harness the ever-growing number of issue reports, by training recommendation systems on previous issues. Our industrial evaluations on 50,000+ issue reports in two large software development organizations indicate that automated issue assignment performs in line with current manual work. Moreover, we present how traceability from already resolved issue reports to various artifacts can be reused to jump start change impact analyses for newly submitted issues. Finally, we speculate on future ways to tame information overload into helpful software engineering recommendations.
Retesting slightly reminds regression testing but still there is a set of differences between these types of software quality checking. Retesting is more like rechecking of the earlier reproducing error. Hence its name.
(by QATestLab)
** Test Automation Masters Program: https://www.edureka.co/masters-program/automation-testing-engineer-training **
This Edureka PPT on "What is Regression Testing?" will help you get in-depth knowledge on regression testing in software Testing and why it is important to incorporate regression testing while testing the software.
What is Regression Testing?
Benefits of Regression Testing
When to apply Regression Testing?
Regression Testing Types
How to implement Regression Testing?
Regression Testing Techniques
Demo: How to derive a regression testing plan?
Regression Testing Challenges
Regression Testing best practices
Selenium playlist: https://goo.gl/NmuzXE
Selenium Blog playlist: http://bit.ly/2B7C3QR
Software Testing Blog playlist: http://bit.ly/2UXwdJm
Automation in the Bug Flow - Machine Learning for Triaging and TracingMarkus Borg
Issue management is a costly part of software development. In large projects, the continuous inflow of issue reports contributes to the information overload in a project, i.e., "a state where individuals do not have time or capacity to process all available information". In issue triaging, an initial step in issue management, a developer must be able to overview existing issue reports and easily navigate the software engineering project landscape. In this presentation, we present support for two work tasks involved in issue management: 1) issue assignment and 2) change impact analysis. We use machine learning to harness the ever-growing number of issue reports, by training recommendation systems on previous issues. Our industrial evaluations on 50,000+ issue reports in two large software development organizations indicate that automated issue assignment performs in line with current manual work. Moreover, we present how traceability from already resolved issue reports to various artifacts can be reused to jump start change impact analyses for newly submitted issues. Finally, we speculate on future ways to tame information overload into helpful software engineering recommendations.
Stages of FMEA in Total Quality Management Dr.Raja R
Stages of FMEA in Total Quality Management
Review the process
Brainstorm potential failure modes
List potential effects of each failure
Assign Severity rankings
Assign Occurrence rankings
Assign Detection rankings
Calculate the RPN
Develop the action plan
Take action
Calculate the resulting RPN
Software Testing has different goals .The major goals of Application testing are as follows:
Discovering problems which may get created by the programmer while developing the application.
Slides used in Agile Testing Conference hosted by KnowledgeHut in Pune, India in March 2017.
The slides talk about the Testing Challenge posed by Machine Learning applications and some suggested approaches to point us in the right direction
Testers can use JMeter for performance testing as it is an open source tool. Generally the test is done by installing the application on the server and accessing the application from several client machines and making numerous threads to run.
Thoughts about the common pitfalls of test automation. What should be automated, who is responible for the test automation and how do we select the right tools for the job? Does the outcome correspond to the expected return on investment? And what can be done to get good results? The presentation is based on the experiences of a dedicated tester introducing automated functional acceptance testing.
Moodle is a very flexible application with a large number of variables and roles. Testing upgrades and changes can be a challenge. This presentation should help attendees focus testing at their own workplace.
implementing_ai_for_improved_performance_testing_the_key_to_success.pptxsarah david
Experience a revolution in software testing with our AI-driven Performance Testing solutions at Cuneiform Consulting. In a world dominated by technological advancements, implementing AI is the key to unlocking unparalleled software performance. Boost your applications with speed, scalability, and responsiveness, ensuring a seamless user experience. Cuneiform Consulting leads the way in reshaping quality assurance, adhering to the predictions of the World Quality Report for AI's significant role in the next decade. Join us to stay ahead, save costs with constant AI-powered testing, and explore the boundless possibilities of AI/ML development services. Contact us now for a future-proof digital transformation!
Stages of FMEA in Total Quality Management Dr.Raja R
Stages of FMEA in Total Quality Management
Review the process
Brainstorm potential failure modes
List potential effects of each failure
Assign Severity rankings
Assign Occurrence rankings
Assign Detection rankings
Calculate the RPN
Develop the action plan
Take action
Calculate the resulting RPN
Software Testing has different goals .The major goals of Application testing are as follows:
Discovering problems which may get created by the programmer while developing the application.
Slides used in Agile Testing Conference hosted by KnowledgeHut in Pune, India in March 2017.
The slides talk about the Testing Challenge posed by Machine Learning applications and some suggested approaches to point us in the right direction
Testers can use JMeter for performance testing as it is an open source tool. Generally the test is done by installing the application on the server and accessing the application from several client machines and making numerous threads to run.
Thoughts about the common pitfalls of test automation. What should be automated, who is responible for the test automation and how do we select the right tools for the job? Does the outcome correspond to the expected return on investment? And what can be done to get good results? The presentation is based on the experiences of a dedicated tester introducing automated functional acceptance testing.
Moodle is a very flexible application with a large number of variables and roles. Testing upgrades and changes can be a challenge. This presentation should help attendees focus testing at their own workplace.
implementing_ai_for_improved_performance_testing_the_key_to_success.pptxsarah david
Experience a revolution in software testing with our AI-driven Performance Testing solutions at Cuneiform Consulting. In a world dominated by technological advancements, implementing AI is the key to unlocking unparalleled software performance. Boost your applications with speed, scalability, and responsiveness, ensuring a seamless user experience. Cuneiform Consulting leads the way in reshaping quality assurance, adhering to the predictions of the World Quality Report for AI's significant role in the next decade. Join us to stay ahead, save costs with constant AI-powered testing, and explore the boundless possibilities of AI/ML development services. Contact us now for a future-proof digital transformation!
This is chapter 5 of ISTQB Specialist Performance Tester certification. This presentation helps aspirants understand and prepare the content of the certification.
Software Testing: History, Trends, Perspectives - a Brief OverviewSoftheme
In this presentation you can learn about different types of software testing, new technologies and methodologies. It contains an overview of software testing perspectives.
Performance testing interview questions and answersGaruda Trainings
In software engineering, performance testing is in general testing performed to determine how a system performs in terms of responsiveness and stability under a particular workload. It can also serve to investigate, measure, validate or verify other quality attributes of the system, such as scalability, reliability and resource usage.
Traps detection during migration of C and C++ code to 64-bit WindowsPVS-Studio
Appearance of 64-bit processors on PC market made developers face the task of converting old 32-bit applications for new platforms. After the migration of the application code it is highly probable that the code will work incorrectly. This article reviews questions related to software verification and testing. It also concerns difficulties a developer of 64-bit Windows application may face and the ways of solving them.
Software Testing Course have immense requirements in youth. Testing is an uninterrupted career in the software field with greatest opportunities; each software must be tested to ensure its quality. It should be checked whether it is satisfactory for the user or not.
Software metricsIntroduction
Attributes of Software Metrics
Activities of a Measurement Process
Types
Normalization of Metrics
Help software engineers to gain insight into the design and construction of the software
Activities of a Measurement Process
To answer this we need to know the size & complexity of the projects.
But if we normalize the measures, it is possible to compare the two
For normalization we have 2 ways-
Size-Oriented Metrics
Function Oriented Metrics
Similar to The Role Of Benchmark Software For Determining The Performance Of A Computer (20)
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex ProofsAlex Pruden
This paper presents Reef, a system for generating publicly verifiable succinct non-interactive zero-knowledge proofs that a committed document matches or does not match a regular expression. We describe applications such as proving the strength of passwords, the provenance of email despite redactions, the validity of oblivious DNS queries, and the existence of mutations in DNA. Reef supports the Perl Compatible Regular Expression syntax, including wildcards, alternation, ranges, capture groups, Kleene star, negations, and lookarounds. Reef introduces a new type of automata, Skipping Alternating Finite Automata (SAFA), that skips irrelevant parts of a document when producing proofs without undermining soundness, and instantiates SAFA with a lookup argument. Our experimental evaluation confirms that Reef can generate proofs for documents with 32M characters; the proofs are small and cheap to verify (under a second).
Paper: https://eprint.iacr.org/2023/1886
zkStudyClub - Reef: Fast Succinct Non-Interactive Zero-Knowledge Regex Proofs
The Role Of Benchmark Software For Determining The Performance Of A Computer
1. The Role Of Benchmark Software For Determining The
Performance Of A Computer
2. Benchmark software can be one or multiple programs
that are meant for testing hardware equipment and
computer applications, usually related to computer
systems. A verification procedure may be necessary for
various reasons, from which the most important could
be determining the performance of equipment, or its
state of functionality. There are different tools and
utilities to help you evaluate the speed of your systems.
3. The technique mainly uses one or several tests and the
obtained scores are combined for getting a final one.
Examples can be many and an obvious one may be to
verify the floating operations performed by a computers
processor. Through a synthetic evaluation, hardware
pieces are tested for knowing how they would behave in
regular applications.
4. If you want to acquire a computer for games and other
3D applications that need good pieces of hardware, you
can look at the scores that certain configurations have
achieved using benchmark software. Game simulations
that are made specifically for testing can be started. At
the end of the evaluation, the obtained score could be
like a measurement for the speed of your computer.
5. If multiple computers are compared, you can select the
one that gives you the best scores. One thing may be
troublesome and that is the price of the equipment.
Various programs can simulate some types of workload
that the parts of a computer can have in its normal
functioning activity. At some points, synthetic results
may not be a reflection of true performance, but they
can be suggestive when it comes to making an overall
evaluation of a system.
6. Manufacturers can use benchmark software in their
phases of development, especially when certain types of
computer hardware are made for specific programs. It
can be hard to have a realistic approach with software
testing. But, you can obtain final results that are a sum
of multiple smaller evaluations of different device
functions.
7. Computer vendors usually try to tune their systems for
achieving the scores that are up to the expectations that
people have for certain systems. When a new processor
has to be released and its speed is higher than
everything that has been manufactured before,
synthetic tests should prove the new capabilities. If the
scores obtained are low, something must be wrong in
the making of the components and they may have to be
adjusted.
8. It is not a secret that multiple computers can score well
in software tests, but do not have the same
performance in real life applications. The issue can dealt
with if more rapid mathematical formulas are applied to
compilers, as this will surely make the functionality
better for some applications.
9. When people need a way to measure the speed of
computer systems, solutions like benchmark software
could be utilized. There is a domain in which the
programs are used a lot and this is the gaming industry.
Synthetic tests can help people who want to see how
their computers would handle 3D games.