Recently, the agile methods become the most widely used software development methodologies. Most agile methods try to minimize risk by developing software in short time boxes, called iterations. While agile methods are in a wide spread use but there are few research trying to mine or visualize the degree of agility between the agile methods. In this paper, formal concept analysis (FCA) is used as data mining tool to visualize the degree of agility in six agile methods, by building formal concepts which representing each agile methods as a set of agility features, then the formal context is built which leading to construct a concept lattice. The concept lattice is the hierarchical order of the set of all concepts. This lattice visualizes the …show more content…
Rather than the long drawn out release cycles in the previously popular waterfall methodology, the agile methodology suggests regular short sprint release cycles called iteration. This allows the customers and stakeholders to have more involvement within the software development process. The iterative approach has become vastly effective in helping software developers improve their skills in estimating schedule for remaining tasks. Schedule estimation is one of the most difficult responsibilities for developers because software issues are common and are unpredictable by nature. By breaking the large requirements down into more manageable sub requirements, the agile process naturally promotes better estimation [1]. Agile methods are people-oriented rather than process-oriented, Qumer and Hender-son-Sellers [2] offer the following definition for the agility method: ‘‘A software development method is said to be an agile software development method when a method is people focused, communications-oriented, flexible (ready to adapt to expected or unexpected change at any time), speedy (encourages rapid and iterative development of the product in small releases), lean (focuses on shortening time frame and cost and on improved quality), responsive (reacts appropriately to expected and unexpected changes), and learning (focuses on improvement during and after product
Agile project management is an iterative approach to the planning and monitoring of project processes. Agile projects are conducted in smaller tranches called iterations with each of these iterations closely reviewed and critiqued by the project team (employees, representatives of the clients etc.). The knowledge gained from this process is then used to ascertain the next steps of the
The Software Development Life Cycle is seldom used at my place of work. Unfortunately, recent developments in its use are deemed confidential. Due to this fact, this paper will examine in general terms one of the projects we are undertaking right now while at the same time attempting to maintain our confidentiality.
The project is going I am working is almost in the finish stage it is going into the production phase means getting to the live so that the users can able to use the application. After the developing the total code it will go to the testing phase where the testers will check the code is working properly without any errors actually the testers task is to check the code and submit to the developers if they found any errors or mistakes or else they will send the code to the production phase to deploy in the server to check the application.
SDLC( Software Development Life Cycle) , is a process used by the software industry to design, develop and test high quality software .The SDLC aim to produce good quality software that meets or exceeds the user’s expectation and reaches completion within time and cost estimates.
Antecedents of the Concept The next step in the systematic process of concept analysis is identification of the antecedents (Walker and Avant, 2011). According to Walker and Avant (2011) antecedents are characteristics that must happen prior to the occurrence of the concept. The authors tried to identify antecedents of holism as an approach to the delivery of nursing care.
Abstract. Recent frameworks employ the strategy to define a specific metadata schema for applications to use in their classes and programming elements, enabling framework behavior customization. Despite this technique is being widely used, there are not models, design patterns or development guidelines that aim to help in the creation of this kind of framework. This thesis proposes a conceptual model for metadata-based frameworks that has the aim to identify appropriate solutions for its internal structure and scenarios where it is suitable for. As a result, software architects and framework developers with this conceptual model should be able to identify situations where the metadata usage is appropriate and to design suitable solutions that provides flexibility in metadata reading and processing.
The Systems Development Life Cycle (SDLC) consists of phases used in developing a piece of software. It is the plan of how to develop and maintain software, and when necessary, replace that software. In 2007 during my hospital’s transition to a new software system, I was fortunate enough to be included in the process. I did not get involved until the implementation phase, but from then on, until now, I remain very active in the process. I decided to highlight the Waterfall Model of SDLC. The Waterfall Model is a “sequential development process” with each phase continuing in a line (McGonigle and Mastrian, 2012, p. 205).
Wells, D. (2009). Agile Software Development: A gentle introduction. In Agile Process. Retrieved April 20, 2014, from http://www.agile-process.org.
Anxiety can be described in ordinary language as a “mind over matter” concept. People who don’t know much about it or have never experienced it for themselves don’t see anxiety as a barrier, its often seen as a thing people choose to turn off and on when they please. I became more interested in this concept when it started being relative to me as an individual in my life. I consider this a concept for its changing idea and how it is tailored to individuals and the signs and symptoms that differer from person to person and how different people view anxiety.
A software development methodology defines the activities to be undertaken by each individual in the development process, specific techniques for accomplishing those activities, like using a flowchart to document the program logic of a particular software. It also offers guidelines to manage the quality of software at various stages of development.
Agile software development is a group of software development methods based on iterative and incremental development, where requirements and solutions evolve through collaboration between self-organizing, cross-functional teams. It promotes adaptive planning, evolutionary development and delivery, a time-boxed iterative approach, and encourages rapid and flexible response to change.
Given the time, it takes to develop large sophisticated software systems it not possible to define the problem and build the solution in a single step. Requirements will often change throughout a projects development, due to architectural constraints, customer’s needs or a greater understanding of the original problem. Iteration allows greater understanding of a project through successive refinements and addresses a projects highest risk items at every stage of its lifecycle. Ideally each iteration ends up with an executable release – this helps reduce a projects risk profile, allows greater customer feedback and help developers stay focused.
A perceptive company with an ‘agile’ system can rapidly identify an alteration in the environment and gather useful information to quickly respond and avoid a major internal impact. This agility to quickly r...
As more companies that are leading technology are transforming from the traditional waterfall development model to an Agile software methodology, requirements engineering provides a process for software engineers to understand the problems they need to solve (Martin, Newkirk, & Koss, 2014). It is of key importance to understand the customer 's wants and needs before beginning designing or building the computer-based solution, as developing a solution that ignores the customer’s needs provides value to none of the parties involved. Thus, the intent of requirements engineering is to produce a written understanding of the customer 's problem (Pressman, 2010). Work products that are available to communicate this understanding include user scenarios, function and feature lists, analysis models, and specifications. This paper provides an evaluation of requirement patterns, an assessment of problem solving techniques most effective, a descriptive explanation of the patterns that includes a visual taxonomy, and an explanation of how the patterns identified are related.