Reuse Of Asset Architecture For Some System

Like any other complex structure, software must be built on a solid foundation. Failing to see the big picture or consider key scenarios, failing to design for common problems, or failing to appreciate the long term consequences of key decisions can put your application at risk. Modern tools and platforms help to simplify the task of building applications, but they do not replace the need to design your application carefully, based on your specific scenarios and requirements. The risks exposed by poor architecture include software that is unstable, is unable to support existing or future business requirements, or is difficult to deploy or manage in a production environment. Software architecture must be distinguished from lower-level design (e.g., design of component internals and algorithms) and implementation.

Programming is a time-consuming process since every step needs to be defined. To be more efficient, developers try hard to not repeat code they have written which still works. The Unix and NodeJS community embrace this by creating and distributing small, reusable modules. Almost every app that I have seen the source code for has third party modules being used. It may sometimes be foolish to reinvent the wheel, however, software developers should when an existing library cannot support a use case or for a learning experience.

With the correct use of Software Development Lifecycle principles and systems analysis tools they can offer significant savings in procurement and maintenance. The biggest motivation for using COTS components is that they will reduce overall system development costs and involve less development time because the components can be bought instead of being developed from scratch. This could prove to be useful for software development because of the ever increasing costs (Wikipedia, 2006).

Repurposing in general as a concept is beneficial. The positive points here are that money is being saved by using already owned software. Also the creativity of using one tool to solve business problems. However, one negativity is that it might impede productivity. For example, if a writer decided to use Word Pad which is the text editor bundled with Microsoft Windows to write a novel instead of using Microsoft Word, he will be saving money but productivity is lost because Word Pad is not as powerful is Word when it comes to professional writing. However, old software might not be secure after a while (Andress, 2011).

“The US population is increasing at a rapid rate of 2.1 million per year” (Census.Gov,2015) and comes with it is many issues that still plague the US today. Housing prices since the housing bubble popped in 2008 that lead to a recession in the economy. That price tag can steer you away from that dream home, but many designers and architects are finding techniques to lower costs with producing a well built affordable home. One of those techniques is Adaptive Reuse, which is the process to refurbish an old abandoned building for the purpose of residential or business with keeping intact its cultural value. The goals of all these techniques is to provide more affordable housings that meet the needs of the public. More homes should be provided in American cities because of affordability, Increase of

Roger S. Pressman, Ph.D. SOFTWARE ENGINEERING A Practitioner’s Approach, McGraw-Hill, an imprint of The McGraw-Hill Companies, Inc. Americas, New York, NY -10020, 2001.

As the world became more and more dependent on technology with each passing day, software automatically became an important organ for development. Since software is needed almost everywhere today, its development is a highly intelligent and precise process, involving various steps. Known as software development life cycle, these steps include planning, analysis, design, development & implementation, testing and maintenance. These steps go on to create the perfect software for clients. ”

Purpose of this assignment: To demonstrate understanding of principles of software design, in relation to specific programming scenarios, and how these principles relate to the software development life cycle.

As design moves forward, the development teams begin to generate a tremendous amount of detailed information about the system. Modules, classes, data fields, data structures, forms, reports, methods, subroutines, and tables are all being defined in substantial detail in the design model. The key design tasks are decomposing the application into layers, clients, and servers, distributing the “pieces” across hardware platforms, and defining the physical network and protocols.

In other words, which means to expand the use of the same software towards different functionalities, for instance utilizing the Numara FoorPrints software from IT services to HR department (Baker, 2009).

So far, no relevant or comparable data on time and cost savings due to the use of the sliced V-model compared to the traditional way of creating documentation has been produced. Further research work is

Software system integration implementing is tedious and a very time consuming process, however it pays off in the end requires need for update and

Though many people interchange system engineering models and software engineering life cycle models, they are defined as two different approaches to software development. System engineering is the technical and technical management process that results in delivered products and systems that exhibit the best balance of cost and performance. As the program progresses from one phase to the next one, so does the system engineering process. It deals with the overall management of engineering project during their life cycle. Its main focus is knowing what the clients and end users wants and needs are satisfied and developing just that all the way through the system’s entire life cycle. Whereas, on the other hand, software engineering focuses on the quality of the product or system, how cost effective it is, is it done within the time-constraints given, whether it is easy to maintain and enhance, and does it work as the requirements defined. Its main focus is on delivering a product that meets the requirement specifications. There are so many models to choose from, as it all depends on what the project needs and entails. Depending on the requirements, allows for the choice of what mode to use.

The debate about what and how the software requirement specification (SRS) should be made between customers and contractors or suppliers continues. Also most computer science engineers and researchers agree that, software requirements specification permits a rigorous assessment of requirements before design can begin and reduces later redesign. It should also provide a realistic basis for estimating product costs, risks, and schedules [1], in other words, the SRS is the step that one would use to find the path to getting one’s own goal. Since there is not a standard for the SRS [14], it is necessary to find the hidden pattern for both the people who is making the SRS and the people who is reading the SRS. Furthermore, in software design engineers can refer the SRS as a part of larger problem solving process which encompasses problem determination and generates the solution for the problem. Thus, researchers consider that it is highly possible that the SRS can be classified under the problem solving cycle [2], which engineers will recognize the problem, re-define the problem in terms of making systems, develop a strategy plan to fix the problem, organize the knowledge of the problem domain figure out the resources that user’s disposal by listing functionalities, monitor user’s implementations, and evaluate the solution for accuracy. In SRS is unnecessary to follow the exact order but it is highly likely that completed one section with a problem another problem will pop up in

The paper starts off talking about SPLE (software product line engineering). SPLE refers to software engineering methods, tools and techniques for creating a collection of similar software systems from a shared set of software assets using a common means of production. Carnegie Mellon Software Engineering Institute defines a software product line as "a set of software-intensive systems that share a common, managed set of features satisfying the specific needs of a particular market segment or mission and that are developed from a common set of core assets in a prescribed way."