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Published By: HPE Service Virtualization     Published Date: Aug 18, 2016
Voke conducted a survey of 505 participants from technology and non-technology companies to explore their use of service virtualization and its results. Organizations using service virtualization experienced fewer defects, reduced software cycles, and increased customer satisfaction. The 2015 Service Virtualization Market Snapshot™ REPORT by Voke Research provides real-world data to help you justify the investment in service virtualization.
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service virtualization, data, market snapshot, voke research, software development, knowledge management
    
HPE Service Virtualization
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 IT’S NOT ENOUGH. That’s 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 today’s unique testing requirements. Potential cost of software defects to U.S. economy: $60B per year 35% of senior IT executives can’t deliver the quality they need to within their allocated budget
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Tricentis
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Gradient Boosting Machine (GBM) modeling is a powerful machine learning technique for advanced root cause analysis in manufacturing. It will uncover problems that would be missed by regression-based statistical modelling techniques and single tree methods, but can easily be used by analysts with no expertise in statistics and modelling to solve complex problems. It is an excellent choice for advanced equipment commonality analysis and will detect interactions between process factors (for example, machines, recipes, process dates) that are responsible for bad product. It can also be used to identify complex nonlinear relationships and interactions between product quality measurements (for example, yield, defects, field returns) and upstream measurements from the product, process, equipment, component, material, or environment.
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 22, 2019
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
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TIBCO Software GmbH
Published By: CA Technologies     Published Date: Nov 02, 2016
The agile approach to developing software—and managing work in general—is your passport to success in the application economy. Agile promises a range of benefits: faster time to market, increased productivity, fewer defects, cost savings and better employee engagement.
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CA Technologies
Published By: CA Technologies EMEA     Published Date: Sep 10, 2018
Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how: Join us for this webcast to learn: - How Test Data Manager finds, builds, protects and delivers test data fast! - How to get your testing teams moving towards self sufficiency with test data Get your questions answered. Come away happy! Recorded Aug 20 2018 60 mins Presented by Prashant Pandey, CA Technologies
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continuous delivery, application delivery, testing, test data management
    
CA Technologies EMEA
Published By: IBM     Published Date: Apr 11, 2016
This paper will explore best practices for identifying and eliminating seven types of waste: Waiting, handoffs and task switching, motion, extra processes, extra features, partially completed work and defects.
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ibm, software delivery, application platform
    
IBM
Published By: Sage Software (APAC)     Published Date: Jan 07, 2019
Have you outgrown your accounting solution? 88% of spreadsheets have errors in them, while 50% of spreadsheets used by large companies have material defects. Today, 73% of organisations would consider a cloud ERP. Read our new whiteppaer, to find out they key benefits your company can achieve with a cloud business management solution.
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Sage Software (APAC)
Published By: IBM     Published Date: Dec 29, 2015
This paper will explore best practices for identifying and eliminating seven types of waste: Waiting, handoffs and task switching, motion, extra processes, extra features, partially completed work and defects.
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ibm, software delivery, task switching, eliminate waste, defect
    
IBM
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
One way to shift testing practices earlier in your software lifecycle is by using multi-layered visual models to specify requirements in a way where all ambiguity is inherently removed. With unambiguous and complete requirements, developers introduce less defects into their code and manual test cases, automated test scripts and required test data can be automatically generated based on the requirement, without manual intervention.
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data manager, data requirements, test automation, service virtualization, risk manager, continuous testing, testing effort, delivery ecosystem
    
CA Technologies EMEA
Published By: Fiserv     Published Date: Nov 07, 2017
"Improve Loan Data Quality and Compliance from Origination to Delivery. This complimentary CEB Gartner paper helps identify process and technology issues that lead to loan defects. Learn strategies for fixing issues and recommends technologies to help lenders improve loan data quality and compliance to reduce costs and improve the borrower experience. "
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loan quality, loan data quality, mortgage quality, mortgage data quality, loan compliance, lending compliance, mortgage compliance, trid, tila respa integrated disclosure, lending efficiency, loan automation, lending automation, mortgage automation, ucd, uniform closing dataset, borrower satisfaction, borrower experience
    
Fiserv
Published By: Fiserv     Published Date: Nov 15, 2017
"Learn how you can reduce loan defects, improve data quality and simplify compliance in the mortgage lending process. Co-presented with Craig Focardi, mortgage industry executive and technology advisor, this webinar provides insights into mortgage lending process challenges and how they impact experiences for lenders and borrowers, as well as the overall performance of the loan. The webinar also provides suggestions for reducing loan defects and strategies to correct them."
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Fiserv
Published By: TIBCO Software     Published Date: Sep 12, 2018
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
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internet of things, connected ecosystem, big data, operations monitoring, process control, analytical techniques
    
TIBCO Software
Published By: CA Technologies     Published Date: Jun 04, 2015
In today’s fast-moving, ultra-competitive business landscape, the days of enterprises spending months—or even years—building, testing and releasing an application, service or new set of capabilities to the market are over. Customers, technology users and the market as a whole are more nimble than ever before, and their demands for innovative new functionality have grown in concert. In other words, customers are no longer content to wait for the next big release—nor are they willing to deal with glitches and defects when it arrives. In this brief you will learn how an enterprise release automation solution can help your organization simplify and accelerate your application delivery processes.
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CA Technologies
Published By: IBM     Published Date: Jul 08, 2015
This survey explores where today’s testers are spending their time, what obstacles they most often encounter, and where they think their attention should be focused.
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survey, data-driven report, test automation, mobile testing, testing experience, testing defects, testing delays
    
IBM
Published By: CollabNet     Published Date: Mar 31, 2012
By gaining timely visibility into build and test results, development teams can be more proactive in dealing with defects, and project teams gain vital information into each build, including which requirements have been addressed.
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continuous integration, agile, alm, development teams, software delivery, build and test
    
CollabNet
Published By: HP     Published Date: Sep 02, 2015
Service virtualization enables development and test teams to simulate and model the dependencies of unavailable or limited services and data. Voke conducted a survey of 505 participants from technology and non-technology companies to explore their use of service virtualization and its results. Organizations using service virtualization experienced fewer defects, reduced software cycles, and increased customer satisfaction. The 2015 Service Virtualization Market Snapshot™ REPORT by Voke Research provides real-world data to help you justify the investment in service virtualization.
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analytics software, application management, application performance, cloud applications, cloud virtualization, service virtualization
    
HP
Published By: Dell Storage     Published Date: Jan 16, 2009
System reliability is a vital component in Storage Area Network (SAN) design that keeps your production environment operating and avoids data loss and downtime. But since SANs are built using both mechanical and electronic parts, component failures due to usage, environmental factors, or manufacturing defects are not uncommon. Even in completely redundant systems, controllers can fail, fans can stop operating, power supplies can burn out, and disk drives can degrade or fail.
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dell, san, storage area networks, component failures, data loss, reliable san, building san, raid
    
Dell Storage
Published By: Coverity, Inc.     Published Date: Feb 26, 2010
Find out how Coverity has helped Frequentis ensure a high level of software integrity to support its product mission of freedom from failure, while continually improving the productivity of its developers.
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coverity, static analysis, dynamic analysis, software analysis, software defects, software bugs, product safety, software safety, software integrity, mission, critical software, software bug detection, software efficiency, software security, c/c++ defects, detecting c code bugs, detecting software defects, detecting c software bugs, java defects, developer productivity
    
Coverity, Inc.
Published By: Coverity, Inc.     Published Date: Nov 01, 2010
This report is the result of the largest public-private sector research project focused on open source software integrity, originally initiated between Coverity and the U.S. Department of Homeland Security in 2006. The results from the 2010 edition of the Coverity Scan Open Source Integrity Report detail the findings of analyzing more than 61 million lines of open source code from 291 popular and widely-used open source projects such as Android, Linux, Apache, Samba and PHP, among others.
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coverity, static analysis, dynamic analysis, software analysis, software defects, software bugs, product safety, software safety, software integrity, mission, critical software, software bug detection, software efficiency, software security, c/c++ defects, detecting c code bugs, detecting software defects, detecting c software bugs, java defects, developer productivity
    
Coverity, Inc.
Published By: Coverity, Inc.     Published Date: Aug 16, 2010
voke Names Coverity as a Transformational Company in the Testing Market Coverity has been rated as a Transformational company in the voke, inc. Market Mover Array Report for Testing Platforms. Coverity's rating is recognition of the impact that Coverity's software integrity strategy is making in shaping the future of the testing market.
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coverity, static analysis, dynamic analysis, software analysis, software defects, software bugs, product safety, software safety, software integrity, mission, critical software, software bug detection, software efficiency, software security, c/c++ defects, detecting c code bugs, detecting software defects, detecting c software bugs, java defects, developer productivity
    
Coverity, Inc.
Published By: Coverity     Published Date: Mar 13, 2012
To maximize efficiencies, developers need to manage security and quality defects as the code is being written and as part of their existing development and triage workflows. Download the complete paper to learn how you can manage security risks!
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security, vulnerability, development, testing, costs, quality, workflows, revenue, destroy, trust, customers
    
Coverity
Published By: SAS     Published Date: Oct 18, 2017
Machine learning uses algorithms to build analytical models, helping computers “learn” from data. It can now be applied to huge quantities of data to create exciting new applications such as driverless cars. This paper, based on presentations by SAS Data Scientist Wayne Thompson, introduces key machine learning concepts and describes SAS solutions that enable data scientists and other analytical professionals to perform machine learning at scale. It tells how a SAS customer is using digital images and machine learning techniques to reduce defects in the semiconductor manufacturing process.
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SAS
Published By: IBM     Published Date: Jan 10, 2014
Independent research by Wintergreen Research, Inc. shows "Dramatic savings brought by IBM Rational automated test solutions".  Read this paper to see how you can see a positive ROI through the ability to minimize cost and time to identify errors and diminish subsequent impacts of defects using test automation and service virtualization.
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ibm, wintergreen research, software testing, service virtualization, software development, testing, automation, quality assurance, roi, cost reduction, test automation, rational, risk management
    
IBM
Published By: IBM     Published Date: Feb 27, 2014
This is a paper on model based requirements analysis where best practices in using modeling for requirements analysis and how that links with requirements management is discussed.
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ibm, ibm software, systems engineering, best practices, model-based analysis, verifiable, it systems, customer needs, modification, system design, implementation, validation, implementation defects, requirements models, delivery platform, hardware, specification model, requirements
    
IBM
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