testing software

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Published By: Tricentis     Published Date: Aug 19, 2019
Think back just 5 years ago. In 2014 The seminal DevOps bookGene Kims The Phoenix Projectwas one year old Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161 "Continuous Testing just started appearing in industry publications and conferences2 Many of todays popular test frameworks were brand newor not yet released The term microservices was just entering our lexicon QC/UFT and ALM were still sold by HP (not even HPE yet) Only 30% of enterprise software testing was performed fully in house3 There was no GDPR restricting the use of production data for software testing Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like SAP S/4HANA and Salesforce Lightning hadnt even been announced Times have changeda lot. If the way that youre testing hasnt already transformed dramatically, it will soon. And the pace and scope of disruption will continue to escalate throughout the fo
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Tricentis
Published By: Tricentis     Published Date: Aug 19, 2019
Lets face it. Businesses dont wantor needperfect software. They want to deliver new, businessdifferentiating software as soon as possible. To enable this, we (Development and Testing teams) need fast feedback on whether the latest innovations will work as expected or crash and burn in production. We also need to know if these changes somehow broke the core functionality that the customer baseand thus the businessdepends upon. This is where Continuous Testing comes in. Continuous Testing is the process of executing automated tests as part of the software delivery pipeline in order to obtain feedback on the business risks associated with a software release candidate as rapidly as possible.
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Tricentis
Published By: F5 Networks Singapore Pte Ltd     Published Date: Jun 18, 2019
By focusing on frequent code integration, automated testing, and keeping the mainline code version in a state that is deployable to production at any time, CI/CD aims to eliminate the risks and friction of traditional waterfall software development. Add to that the practice of continuous deployment and you can move to a situation where the latest and greatest software version is not just always ready to be deployedits deployed on a frequent basis.
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F5 Networks Singapore Pte Ltd
Published By: Tricentis     Published Date: Jan 22, 2019
With todays enterprise IT landscape evolving faster than ever, its hardly surprising that IT teams find it difficult to keep pace with the seemingly non-stop testing requirement for new software. Thats particularly the case in the SAP arena, where end-to-end SAP-enabled business processes now frequently span multiple SAP applications and platforms, and increasingly draw on multiple SaaS applications all with their own separate release cycles.
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Tricentis
Published By: Tricentis     Published Date: Nov 15, 2018
Countless QA teams continue using subpar testing tools because they cant stand the thought of migrating thousands of test artifacts or training testers on an entirely new platform. Many would prefer the status quo of using their current toolset because they believe that a migration will be painful, or that it will slow them down. But theres a problem with that logic: The longer they wait, the more obsolete their current toolset becomes, and the further removed QA becomes from the rest of the software development lifecycle which often means that testing lags behind, remaining a roadblock on the agile transformation journey. This white paper will cover: o The true cost of using inadequate legacy tools, and why migrating now is better than waiting o Six steps to make migration as painless as possible for your QA and development teams o How the entire SDLC benefits from a flexible toolset that integrates quality into agile processes
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Tricentis
Published By: CheckMarx     Published Date: Nov 02, 2018
In todays era of digital transformation, time-to-market is the new name of the game, and DevOps is changing the way software is built. As developers have taken on a much larger role in the software development lifecycle, including developing secure code, building containers and ensuring quality, security cannot be separated from DevOps and engineering. Unfortunately, traditional software security testing tools have operated in isolation and have forced developers to change the way they work. Checkmarx, however, has developed a more agile and responsive solution: Checkmarx Software Exposure Platform. Taking a holistic, platform-centric approach, the platform builds security in from the beginning, supporting all stages of the software development lifecycle, allowing enterprises to deliver secure software at the speed of DevOps while mitigating their business risk. Download the white paper Delivering Secure Software at the Speed of DevOps to learn how Checkmarx provides the combinatio
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CheckMarx
Published By: CA Technologies EMEA     Published Date: Sep 30, 2018
If youre relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices, youll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 12, 2018
To compete successfully in todays economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing. In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever. Recorded Feb 5 2018 49 mins Presented by Steve Feloney, VP Product Management CA Technologies
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
Continuous testing is the practice of testing across every activity in the SDLC to uncover and fix unexpected behaviors as soon as they are injected. Continuous testing is the embedding of testing as a fundamental and ongoing aspect of every activity through the application lifecycle, from requirements through production, to ensure the business value is being achieved as expected. As the pace of business continues to quicken, companies are starting to recognize that to stay competitive the process of developing and releasing software needs to change. Release cadence has greatly accelerated. There is no occasion anymore for a six- to 18-month find-and-fix turnaround in which the customer will find the delay acceptable. Things need to move faster, and they need to be ready and perfect faster. Download this whitepaper to find out how CA Technologies can help with your Continuous Testing.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
Business applications have become the battleground for customer loyalty. To compete, IT organizations are under pressure to deliver applications faster and with higher quality. Continuous Delivery (CD) of code offers a solution. CD may be paired with DevOps, Agile and other methodologies. However, QA and testing can be an obstacle to CDs rapid development and deployment of high quality code. Testers and developers must engage in Continuous Testing, continuously testing software for performance, quality and user experience as its being developed. Continuous Testing is not a push button process, though. It requires a comprehensive approach. This paper outlines the common challenges to Continuous Testing and highlights results from real users who have used technology to get to succeed with the Continuous Testing process.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
To compete successfully in todays economy, companies from all industries require the ability to deliver software faster, with higher quality, and reduced risk and costs. This is only possible with a modern software factory that can deliver quality software continuously. Yet for most enterprises, testing has not kept pace with modern development methodologies. A new approach to software testing is required: Continuous Testing. In the first session in a series, join product management leadership to gain in-depth insights on how by shifting testing left, and automating all aspects of test case generation and execution, continuous testing, it enables you to deliver quality software faster than ever. Recorded Feb 5 2018 49 mins Presented by Steve Feloney, VP Product Management CA Technologies
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
If youre relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices, youll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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CA Technologies EMEA
Published By: Sauce Labs     Published Date: Jun 04, 2018
No matter the industry, every company is now in the business of developing applications and online experiences. To keep up with the competition, you need to stand out in all of the digital noise. For your app to succeed, it is critical that it delight your customers with a flawless experience, regardless of what device they use to access it. New features and updates need to be delivered quickly and frequently, but without compromising quality. While development practices have dramatically changed to meet the high speed demands of todays digital economy, testing has often been left behind as an afterthought. However, this attitude is changing as organizations discover the power of positive experience, and the business impacts of negative reviews. Businesses of all sizes are moving towards Continuous Testing practices and as a result are seeing accelerated software delivery cycles, high quality digital experiences across all platforms, and most importantly happy and loyal customers. T
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Sauce Labs
Published By: Panaya     Published Date: Jun 01, 2018
Hear IDC Research Director for ALM Strategies explain how establishing effective agile approaches to software development, QA and testing, ensures software relevance, streamlines execution and increases release velocity. Join IDC guest speaker and Panaya experts to hear: IDC Research Director, Melinda-Carol Ballou cover the latest ALM industry practices Which ALM strategies bring greater agility to your backend system How to implement these practices to achieve frequent, quality change releases
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Panaya
Published By: Sauce Labs     Published Date: May 30, 2018
If you work in DevOps or software QA, you likely already know why automated software testing is essential for quality control to keep pace with continuous delivery. Automated testing delivers faster results and more thorough coverage, and enables shift-left testing for earlier detection of bugs. Yet the issue of how to approach automated testing remains difficult for many QA teams to solve. A range of obstacles makes it challenging to begin automating software tests, or to increase the extent of test automation beyond the basics.
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Sauce Labs
Published By: Dassault Systemes SolidWorks Corp.     Published Date: Mar 27, 2018
Quality is a top priority for any organization, whether its defined by reliability and customer satisfaction or conformance with manufacturability specifications. Manufacturers are continually challenged to maintain quality while optimizing the bottom line. Inspection, testing and documentation are critical to this process; however, manual translations are riddled with error, inconsistencies and lost productivity. This article reveals how SOLIDWORKS Inspection software optimizes the inspection process, reduces costs and helps create higher quality products faster than ever.
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solidworks, software, quality, inspection, organization
    
Dassault Systemes SolidWorks Corp.
Published By: Tricentis     Published Date: Mar 13, 2018
Testing is critical to the success of any application. In fact, your software is only as good as the testing team behind it and their ability to identify bugs before they find their way into production. Practically speaking, that means that building and nurturing an effective testing team is mission critical. But, of course, doing so is a lot easier said than done. That's because to be successful, todays testing teams need to be cross-functional, efficient, and focused on the right things. They also have to be fully bought in and worthy of deep trust. As a result, finding the right candidates can be a challenge, so you have to get creative. Not only that, to attract and retain the best talent, you need to keep them motivated by giving them ample opportunities to learn and advance their career, while not weighing them down with the burden of time-consuming and unnecessary administrative tasks. Instead, you want to equip your team with the right tools to enable and empower them.
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Tricentis
Published By: Tricentis     Published Date: Mar 13, 2018
In a case of if you cant measure it, you cant manage it, some software project failures occur because of a lack of traceability that is, an incomplete record of documentation around software quality assurance efforts. The lack of traceability has a significant impact on QA testing effectiveness and meeting strategic goals. However, with optimal traceability, testing becomes more efficient and enables collaboration throughout the software development lifecycle, as well as between product owners and organization leaders.
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Tricentis
Published By: Tricentis     Published Date: Mar 13, 2018
Hitting your go-to-market timelines depends on quality testing completion and approval. Whether your organization still employs a waterfall model or has adopted the DevOps or agile methodology, testing has the final say in acceptance for software launch. Metrics shared between testing and other stakeholders can reduce bottlenecks and help your team reliably hit delivery dates with exceptional quality.
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Tricentis
Published By: Tricentis     Published Date: Jan 08, 2018
Data. It seems to be everywhere today and yet we can never get enough of it. But as it turns out, a lack of data isnt our problem -- our problem is the difficulty piecing together, understanding and finding the story in all the data thats in front of us. In software testing in particular, the need for consolidated, meaningful test metrics has never been higher. As both the pace of development and the cost of delivering poor quality software increase, we need these metrics to help us test smarter, better and faster. Fortunately, business intelligence now exists to make this goal a reality. The analytics these tools provide can help drive efficient and effective testing by providing teams with insight on everything from testing quality and coverage to velocity and more. And this knowledge can position the QA team as trusted experts to advise the entire software development team on steps that can ensure a better quality end result.
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Tricentis
Published By: Tricentis     Published Date: Jan 08, 2018
In this guide you'll learn how to select and integrate the right test management solution for your team: Why test management software? How to buy: some general considerations The 5 must-have features Tips for evaluating & integrating your new solution Where to get additional help BUT ITS NOT ENOUGH. Thats because trends like agility, mobile and cloud computing have QA teams bursting at the seams. As a software development leader, you are under the gun to deliver higher-quality software at an accelerating cadence and still find time to provide solid evidence of testing at any given moment. Test case management systems are and have been a clear value driver in development organizations. But many of these systems do not support todays unique testing requirements. Potential cost of software defects to U.S. economy: $60B per year 35% of senior IT executives cant deliver the quality they need to within their allocated budget
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Tricentis
Published By: Tricentis     Published Date: Jan 08, 2018
More than just an evolution, the software testing field is in the midst of a period of extreme change. What exactly does this change entail? How can software testers prepare for this change? And, perhaps most importantly, what change has yet to come? To answer these questions and more, we turned to 12 well-respected, highly seasoned software testing leaders.
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Tricentis
Published By: Oracle     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of todays most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intels x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of todays most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intels x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle
Published By: Oracle CX     Published Date: Oct 20, 2017
Oracle has just announced a new microprocessor, and the servers and engineered system that are powered by it. The SPARC M8 processor fits in the palm of your hand, but it contains the result of years of co-engineering of hardware and software together to run enterprise applications with unprecedented speed and security. The SPARC M8 chip contains 32 of todays most powerful cores for running Oracle Database and Java applications. Benchmarking data shows that the performance of these cores reaches twice the performance of Intels x86 cores. This is the result of exhaustive work on designing smart execution units and threading architecture, and on balancing metrics such as core count, memory and IO bandwidth. It also required millions of hours in testing chip design and operating system software on real workloads for database and Java. Having faster cores means increasing application capability while keeping the core count and software investment under control. In other words, a boost
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Oracle CX
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