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With PaaS, the consumer manages applications and data, while the provider (in public PaaS) or IT department (in private PaaS) manages runtime, middleware, operating system, virtualization, servers, storage and networking.</span>\r\n<span style=\"color: rgb(97, 97, 97); \">PaaS offerings may also include facilities for application design, application development, testing and deployment, as well as services such as team collaboration, web service integration, and marshalling, database integration, security, scalability, storage, persistence, state management, application versioning, application instrumentation, and developer community facilitation. Besides the service engineering aspects, PaaS solutions include mechanisms for service management, such as monitoring, workflow management, discovery and reservation.</span>\r\nThere are various types of PaaS providers. All offer application hosting and a deployment environment, along with various integrated services. 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PaaS can be delivered through public, private and hybrid clouds to deliver services such as application hosting and Java development.</p>\r\n<p class=\"align-left\"><span style=\"font-weight: bold; \">Other PaaS services include:</span></p>\r\n<ul><li>Development team collaboration</li><li>Application design and development</li><li>Application testing and deployment</li><li>Web service integration</li><li>Information security</li><li>Database integration</li></ul>\r\n<p class=\"align-left\">Users pay for PaaS on a per-use basis. However, different platform as a service providers charge a flat monthly fee for access to the platform and its applications.</p>\r\n<h1 class=\"align-center\">What are the types of PaaS?</h1>\r\n<ul><li><span style=\"font-weight: bold; \">Public PaaS</span></li></ul>\r\nA public PaaS allows the user to control software deployment while the cloud provider manages the delivery of all other major IT components necessary to the hosting of applications, including operating systems, databases, servers and storage system networks. \r\nPublic PaaS vendors offer middleware that enables developers to set up, configure and control servers and databases without the necessity of setting up the infrastructure side of things. As a result, public PaaS and IaaS (infrastructure as a service) run together, with PaaS operating on top of a vendor's IaaS infrastructure while leveraging the public cloud. \r\n<ul><li><span style=\"font-weight: bold; \">Private PaaS</span></li></ul>\r\nA private PaaS is usually delivered as an appliance or software within the user's firewall which is frequently maintained in the company's on-premises data center. A private PaaS software can be developed on any type of infrastructure and can work within the company's specific private cloud. Private PaaS allows an organization to better serve developers, improve the use of internal resources and reduce the costly cloud sprawl that many companies face.\r\n<ul><li><span style=\"font-weight: bold; \">Hybrid PaaS </span></li></ul>\r\nCombines public PaaS and private PaaS to provide companies with the flexibility of infinite capacity provided by a public PaaS model and the cost efficiencies of owning an internal infrastructure in private PaaS. Hybrid PaaS utilizes a hybrid cloud.\r\n<ul><li><span style=\"font-weight: bold; \">Communication PaaS </span></li></ul>\r\nCPaaS is a cloud-based platform that allows developers to add real-time communications to their apps without the need for back-end infrastructure and interfaces. Normally, real-time communications occur in apps that are built specifically for these functions. Examples include Skype, FaceTime, WhatsApp and the traditional phone. CPaaS provides a complete development framework for the creation of real-time communications features without the necessity of a developer building their own framework.\r\n<ul><li><span style=\"font-weight: bold; \">Mobile PaaS</span> </li></ul>\r\nMPaaS is the use of a paid integrated development environment for the configuration of mobile apps. In an mPaaS, coding skills are not required. MPaaS is delivered through a web browser and typically supports public cloud, private cloud and on-premises storage. The service is usually leased with pricing per month, varying according to the number of included devices and supported features.\r\n<ul><li><span style=\"font-weight: bold; \">Open PaaS</span></li></ul>\r\nIt is a free, open source, business-oriented collaboration platform that is attractive on all devices and provides useful web apps, including calendar, contacts and mail applications. OpenPaaS was designed to allow users to quickly deploy new applications with the goal of developing a PaaS technology that is committed to enterprise collaborative applications, specifically those deployed on hybrid clouds.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/PaaS_-_Platform_as_a_service.png","alias":"paas-platform-as-a-service"},"54":{"id":54,"title":"MDM - master data management","description":"<span style=\"font-weight: bold; \">Master data management (MDM)</span> is the core process used to manage, centralize, organize, categorize, localize, synchronize and enrich master data according to the business rules of the sales, marketing and operational strategies of your company. \r\nIt is a technology-enabled discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise’s official shared master data assets. Master data is the consistent and uniform set of identifiers and extended attributes that describes the core entities of the enterprise including customers, prospects, citizens, suppliers, sites, hierarchies and chart of accounts.\r\n<p class=\"align-center\"><span style=\"font-weight: bold; \">Essential Master Data Management Capabilities</span></p>\r\n<span style=\"font-weight: bold; \">Flexible and multi-domain.</span>An extensible master data repository with flexible data modeling features provides a centralized view of all relationships between data types, clarifying complex cross-domain relationships, providing a flexible and multi-domain master data software.\r\n<span style=\"font-weight: bold; \">Multi-style MDM.</span> Master Data Management platform should support all four main styles of MDM:\r\n<span style=\"font-style: italic;\">Centrally authored:</span> In this style data is authored in the MDM, other systems subscribe to the MDM for master data (or the MDM pushes the data into downstream applications).\r\n<span style=\"font-style: italic;\">Consolidation:</span> Source systems feed data into the MDM for consolidation into golden records\r\n<span style=\"font-style: italic;\">Coexistence:</span> A mashup of centrally authored and consolidation that allows for creation of data in multiple systems.\r\n<span style=\"font-style: italic;\">Registry:</span> Rather than consolidating records, joining/aligning unique identifiers from across all the systems into join tables.\r\n<span style=\"font-weight: bold; \">Real-time, secure data.</span> The top MDM software today allow you to publish and subscribe to data on demand, providing accurate master data to systems when and how you need it without compromising security. With real-time data, users can better react to the data and make faster decisions based on the insights discovered.\r\n<span style=\"font-weight: bold; \">Data and Workflow visualization.</span> Master Data Management software provides a data visualization component that allows you to identify and easily fix quality issues. The capability can also helps users collaborate to constantly make improvements, monitor processes, and create dashboards for actionable data analysis.\r\n<span style=\"font-weight: bold; \">A customizable, business-friendly user interface.</span> A zero coding visual design time environment allows you to develop custom UIs using simple drag and drop actions. You can design cleaner, simpler, and more flexible role-based user interfaces for your Master Database Management system.\r\n\r\n","materialsDescription":"<h1 class=\"align-center\">Things to Look for in MDM Management Software</h1>\r\n<p class=\"align-left\">Because MDM is such a major task, you need the right software solution to assist you. The good news is that you have plenty of selections to choose from. The hard part is deciding on one. Here are a handful of features to look for:</p>\r\n<span style=\"font-weight: bold;\">Flexibility.</span> MDM isn’t a static issue. MDM software vendors continually updating products, so solutions will change rather dramatically over the course of a few months or years. With that being said, it’s smart to look at flexibility when it comes to master data management tools list. You may have a very specific need now, but will your solution allow you to address a future need that looks considerably different? \r\n<span style=\"font-weight: bold;\">Modeling.</span> Can you leverage the data model(s) of the member applications and eliminate the need to model? It could save you time, money, and help your master data be readily consumed without requiring additional transformation from an abstract data model to the data model in the member application(s). \r\n<span style=\"font-weight: bold;\">Cost.</span> While it shouldn’t be the only factor, money is obviously something that must be considered in the context of budgeting. This may be one of the first factors you use to narrow your choices. If you know you can only spend X dollars, then there’s no point in evaluating selections that cost more.\r\n <span style=\"font-weight: bold;\">Scalability.</span> How well does the solution scale? Your business is a fluid entity that will grow, contract, stagnate, grow again, etc. There’s no point in investing in thebest master data management tools that can only be used at your current size. Find one that easily grows and contracts in a cost-effective manner.\r\n <span style=\"font-weight: bold;\">Integration.</span> The final thing to think about is integration. Since the point of MDM software is to create a centralized destination for data, you need to carefully ensure that it will work with your current setup.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/MDM_-_master_data_management1.png","alias":"mdm-master-data-management"},"395":{"id":395,"title":"Agile Application Life-Cycle Management Software","description":" Agile software development is an approach to software development under which requirements and solutions evolve through the collaborative effort of self-organizing and cross-functional teams and their customer(s)/end user(s). It advocates adaptive planning, evolutionary development, empirical knowledge, and continual improvement, and it encourages rapid and flexible response to change.\r\nThe term agile (sometimes written Agile) was popularized, in this context, by the Manifesto for Agile Software Development. The values and principles espoused in this manifesto were derived from and underpin a broad range of software development frameworks, including Scrum and Kanban.\r\nThere is significant anecdotal evidence that adopting agile practices and values improves the agility of software professionals, teams and organizations; however, some empirical studies have found no scientific evidence.\r\nAgile application lifecycle management (Agile ALM) is all the tools and processes that are used to manage software development projects based on flexible methodology. The traditional cascade design model uses a phase approach to the development life cycle. This approach means that no project phase starts earlier than the previous one ends. For example, the design does not begin before the collection of requirements ends. Development does not begin until the design is completed. Testing does not begin until development is fully completed. There are many tools to manage what is in the input and output of each phase.","materialsDescription":" Agile ALM brings together two seemingly contradictory development strategies. Agile promotes flexibility, rapid release cycles and quick response to change. Application lifecycle management (ALM) emphasizes tracking and documenting changes in an application -- from inception to retirement. Its processes are more controlled and less adaptive than the Agile methodology. That said, when put together, Agile and ALM act as complements, rending ALM more flexible and Agile more disciplined.\r\n<span style=\"font-weight: bold;\">What is Agile ALM?</span>\r\nDevelopment expert Yvette Francino described Agile ALM as ALM tools and processes that are used to manage Agile software development projects. For example, rather than using Waterfall's phased approach, Agile ALM offers an approach to software development in which design, code and requirements are all handled by the same team.\r\n<span style=\"font-weight: bold;\">How do you integrate Agile into an ALM framework?</span>\r\nAccording to Gerie Owen's article on Agile and ALM, adopting Agile means both a change to the ALM approach and a change to an organization's mind-set. An Agile ALM strategy will focus on the customer and will have the ability to adapt to shifting requirements -- from project planning to release management. For example, instead of just implementing controls to force early feedback from testers and business analysts, an organization would also foster a culture of collaboration.\r\n<span style=\"font-weight: bold;\">Are there tools that can help me achieve this?</span>\r\nALM tools are widely available but must be chosen with care, according to Yvette Francino, SearchSoftwareQuality contributor. Organizations should look for tools that facilitate the process without impeding acceptance of changing requirements. They would also need to integrate throughout the application lifecycle and be easy to maintain. In other words, the tool should manage the development process in an Agile way. In an article for SearchSoftwareQuality.com, Amy Reichert provides a list of Agile ALM tools and identifies their strengths and weaknesses. Rally Software, for example, offers a product that works well with Agile but, according to Reichert, does not provide an intuitive workflow. VersionOne, on the other hand, offers a tool that is more user-friendly but less compatible with Agile. Which one is best will depend on the company's needs.\r\n<span style=\"font-weight: bold;\">Are there challenges to Agile ALM that I should be aware of?</span>\r\nThe primary challenge to Agile ALM is in finding a balance between the two methodologies. A common pitfall is to over-ALM the development process. In other words, when developers and testers start to find workarounds to the software rules -- as they often do -- some react by creating more rules in order to more strictly enforce them. Meanwhile, processes lose their agility.\r\n<span style=\"font-weight: bold;\">How can I overcome these challenges?</span>\r\nTesting expert Amy Reichert cautions development teams to keep track of how many rules they add and how those rules are communicated. She also suggests having a discussion with the team, asking them why they are circumventing the process. Once everyone's role has been clarified, project managers can then decide which rules, if any, to add.\r\n<span style=\"font-weight: bold;\">Is Agile ALM a good approach for mobile development?</span>\r\nMobile development is faster and more competitive than traditional software development. It has newer technologies and higher-speed application cycles. These qualities could make mobile an excellent candidate for Agile ALM, but only if the methodology is amended to accommodate the challenges inherent in a more restrictive development process. In an article on mobile ALM, site editor James Denman suggested an ALM approach that focuses on smaller pieces of software and authenticates results as each part is finished. That way, teams can quickly discern whether the app will effectively serve its purpose or if it needs to be taken in a different direction.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Agile_Application_Life_Cycle_Management_Software.png","alias":"agile-application-life-cycle-management-software"},"403":{"id":403,"title":"Software Quality Analysis and Measurement","description":" Software quality measures whether the software satisfies its requirements. Software requirements are classified as either functional or non-functional.\r\nFunctional requirements specify what the software should do. Functional requirements could be calculations, technical details, data manipulation, and processing, or any other specific function that defines what an application is meant to accomplish.\r\nNon-functional requirements specify how the system should work. Also known as “quality attributes” non-functional requirements include things like disaster recovery, portability, privacy, security, supportability, and usability.\r\nNote that most factors indicating software quality fit into the non-functional requirements category. And, while it’s obviously important that software does what it’s built to do, this is the bare minimum you would expect from any application.\r\nBelow are some examples of test metrics and methods for measuring the important aspects of software quality. Efficient measuring and testing of your software for quality is the only way to maximize the chances of releasing high-quality software in today’s fast-paced development environments.\r\nYou can measure reliability by counting the number of high priority bugs found in production. You can also use load testing, which assesses how well the software functions under ordinary conditions of use. It’s important to note that “ordinary conditions of use” can vary between low loads and high loads—the point is that such environments are expected.\r\nLoad testing is also useful for measuring performance efficiency. Stress testing is an important variation on load testing used to determine the maximum operating capacity of an application.\r\nStress testing is conducted by inundating software with requests far exceeding its normal and expected patterns of use to determine how far a system can be pushed before it breaks. With stress testing, you get insight into the recoverability of the software when it breaks—ideally, a system that fails should have a smooth recovery.\r\nYou can measure security by assessing how long it takes to patch or fix software vulnerabilities. You can also check actual security incidents from previous software versions, including whether the system was breached and if any breaches caused downtime for users. All previous security issues should, of course, be addressed in future releases.\r\nCounting the number of lines of code is a simple measure of maintainability—software with more lines of code is harder to maintain, meaning changes are more likely to lead to errors.\r\nThere are several detailed test metrics used to check the complexity of code, such as cyclomatic complexity, which counts the amount of linearly independent paths through a program’s source code.\r\nYou can check the rate of delivery by counting the number of software releases. Another measure is the number of “stories” or user requirements shipped to the user.\r\nYou can test the GUI to make sure it’s simple and not frustrating for end-users. The problem is that GUI testing is complex and time-consuming – there are many possible GUI operations and sequences that require testing in most software. And that means it takes a long time to design test cases.\r\nThe complexity of GUI testing competes with the objective of releasing software quickly, which has necessitated the implementation of automated testing. Several test suites that completely simulate user behavior are available.","materialsDescription":" <span style=\"font-weight: bold;\">What is Software Quality Metrics?</span>\r\nThe word 'metrics' refers to standards for measurements. Software Quality Metrics means a measurement of attributes, pertaining to software quality along with its process of development.\r\nThe term &quot;software quality metrics&quot; illustrate the picture of measuring the software qualities by recording the number of defects or security loopholes present in the software. However, quality measurement is not restricted to the counting defects or vulnerabilities but also covers other aspects of qualities such as maintainability, reliability, integrity, usability, customer satisfaction, etc.\r\n<span style=\"font-weight: bold;\">Why Software Quality Metrics?</span>\r\n<ol><li>To define and categorize elements in order to have a better understanding of each and every process and attribute.</li><li>To evaluate and assess each of these processes and attribute against the given requirements and specifications.</li><li>Predicting and planning the next move w.r.t software and business requirements.</li><li>Improving the Overall quality of the process and product, and subsequently of project.</li></ol>\r\n<span style=\"font-weight: bold;\">Software Quality Metrics: a sub-category of Software Metrics</span>\r\nIt is basically, a subclass of software metrics that mainly emphasizes on quality assets of the software product, process and project. A software metric is a broader concept that incorporates software quality metrics in it, and mainly consists of three types of metrics:\r\n<ul><li><span style=\"font-weight: bold;\">Product Metrics:</span> it includes size, design, complexity, performance and other parameters that are associated with the product's quality.</li><li><span style=\"font-weight: bold;\">Process Metrics:</span> it involves parameters like time-duration in locating and removing defects, response time for resolving issues, etc.</li><li><span style=\"font-weight: bold;\">Project Metrics:</span> it may include a number of teams, developers involved, cost and duration for the project, etc.</li></ul>\r\n<span style=\"font-weight: bold;\">Features of good Software Quality Metrics:</span>\r\n<ul><li>Should be specific to measure the particular attribute or an attribute of greater importance.</li><li>Comprehensive for a wide variety of scenarios.</li><li>Should not consider attributes that have already been measured by some other metric.</li><li>Reliable to work similarly in all conditions.</li><li>Should be easy and simple to understand and operate.</li></ul>","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Software_Quality_Analysis_and_Measurement.png","alias":"software-quality-analysis-and-measurement"}},"companyUrl":"https://www.tgix.com/","countryCodes":["USA"],"certifications":[],"isSeller":true,"isSupplier":true,"isVendor":false,"presenterCodeLng":"","seo":{"title":"TGIX","keywords":"","description":"TGIX - Who we ARE Tgix is a preeminent cloud services firm that builds and manages complex AWS solutions. 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