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Software development is a data rich activity with many sophisticated metrics. Yet engineers often lack the tools and techniques necessary to leverage these potentially powerful information resources toward decision making. In this paper, we present the data and analysis needs of professional software engineers, which we identified among 110 developers and managers in a survey. We asked about their decision making process, their needs for artifacts and indicators, and scenarios in which they would use analytics. The survey responses lead us to propose several guidelines for analytics tools in software development including: Engineers do not necessarily have much expertise in data analysis; thus tools should be easy to use, fast, and produce concise output. Engineers have diverse analysis needs and consider most indicators to be important; thus tools should at the same time support many different types of artifacts and many indicators. In addition, engineers want to drill down into data based on time, organizational structure, and system architecture.
Software can be developed for a variety of purposes, the three most common being to meet specific needs of a specific client/business (the case with custom software), to meet a perceived need of some set of potential users (the case with commercial and open source software), or for personal use (e.g. a scientist may write software to automate a mundane task). Embedded software development, that is, the development of embedded software, such as used for controlling consumer products, requires the development process to be integrated with the development of the controlled physical product. System software underlies applications and the programming process itself, and is often developed separately.
Software development is the process of conceiving, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components. Software development is a process of writing and maintaining the source code, but in a broader sense, it includes all that is involved between the conception of the desired software through to the final manifestation of the software, sometimes in a planned and structured process. Therefore, software development may include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities that result in software products
In order for a firm to truly be in the software consulting business, it needs to engage clients as a consultant! This may seem simple, but in reality, many companies simply see themselves as the provider of services that the client has asked for. They may or may not know anything about the customer’s business or industry focus, and an understanding of the needs driving the engagement in the first place may not be there. Rather than being implementation-focused, a consulting business model means understanding that the client has a business problem (rather than a strictly technical one) and is seeking a business solution. Software consultants provide business solutions using relevant software tools. Without this focus on the problem, it is almost impossible to meet the need at hand.
The term infrastructure in an information technology (IT) context refers to an enterprise's entire collection of hardware, software, networks, data centers, facilities and related equipment used to develop, test, operate, monitor, manage and/or support information technology services. A company's IT infrastructure includes the physical IT devices and products, but does not include the employees, documentation or processes used in operating and managing IT services. From Infrastructures to Converged and Hyper-Converged Infrastructure Systems Two infrastructure-related terms that have become increasingly relevant in recent years are converged infrastructure and hyper-converged infrastructure systems. The former refers to an optimized, tightly-integrated collection of IT components offered by a systems vendor that includes a variety of compute, storage, networking and virtualization resources.
Product Engineering is the process of innovating, designing, developing, testing and deploying a software product. The advent of Web 2.0 technologies and utility based software delivery through Software as a Service (SaaS) has led to the process of gradual transformation of client enabling engineering services from traditional software engineering to product engineering. Product engineering takes care of the entire product life cycle from the innovation phase, starting from the idea being conceived to the deployment and user acceptance testing phase. Let us now understand, what are the various phases of product engineering? The various phases of product engineering are: