Software System Architecture Essay

“During the object-oriented analysis (OOA) phase object-modeling techniques are used to analyze the functional requirements for a system and create models which reflect the logical design of the system. During the object-oriented design (OOD) phase of the system, models are elaborated upon to include implementation specific details that show how the physical design of the system will come together. OOA focuses on what the system does (its static structure and behavior), OOD on how the system does it (its run-time implementation).”

In designing and building a payroll program for a large organization with offices spread across the country, which possesses quite a few changelings to overcome and must be done in a particular manner. Thus having the right application architecture is important where the design is concerned. Because the company has one large data center that each office connects to via a wide area network (WAN), hence the appropriate architecture for this solution would have to consist of a WAN diagram to be used in management of this project, along with system documentation, and information technology architecture documents to provide a visual representation of the network. A wide area networks (WANs) usually covers a large, physical area. And many WANs

Q1: Briefly explain designing requirements that’s are required when designing the hardware and software infrastructure:

Another way of successfully gathering information is by building a prototype or model of the system, so that users can test or get an idea of what the finished product will be like. With this they can determine issues, problems, or inconsistency with the system. Another important part of gathering information is organizing it so that it can be understood and put to proper use. I propose categorizing the requirements into functional requirements, operational requirements, technical requirements, and transitional requirements. The functional requirements define how the user thinks the system is functioning overall, the operational requirements define what background processes need to be executed in order for the system to work optimally over a period of time, the technical requirements define what technical issues that must be addressed in order to successfully implement the system, and the transitional requirements define the processes or steps needed to implement the system smoothly and successfully. ("Mind Tools", 2012).

As the information system is designed, implementation decisions describing how the system will work are made. Data flow diagrams offer those implementation details, including data stores that refer to files and database tables, programs and human actions that perform processes. The automated parts of the system are differentiated from the manual parts by the human-machine boundary (Dennis, Wixom,

3. A Use Case is developed to support requirement specification. It is a detailed description of specifications in its simplest form using Realtime scenarios of the functionality requirements between the actors and

Managing the development of major software systems and estimating the cost of that development have always been difficult, but they can be especially challenging in dynamic and continuously evolving government environments. At the same time, advances in computer power, computational analysis, and engineering methodologies are transforming the way new systems are developed.

Logic models represent a visual way of expressing the rationale or thought behind a program. Two other forms of expression may help concurrently support the development of a logic model, or accompany the model if it is to be communicated through written materials.

10. You are using the grep command, but it is only searching through files in your immediate home directory. What option enables you to search through subdirectories below your home directory?

Logical and physical models represent the key elements and processes of the software development. The logical model describes the processes, and data, in as much detail as possible, without giving regard to how the system will be implemented. Logical data models include

Software engineering (SE) is the profession concerned with specifying, designing, developing and maintaining software applications by applying technologies and practices from computer science, project management, and other fields.

If an organization is to remain effective as it changes and grows with its environment, managers must continuously evaluate the way their organizations are designed: for example, the way work is divided among people and departments, and the way it controls its human, financial, and physical resources. Organizational design involves difficult choices about how to control—that is, coordinate organizational tasks and motivate the people who perform them—to maximize an organization’s ability to create value (Jones, 2004). Maintaining that competitive edge in the snack food industry can be challenging. Snacks and goodies are considered one of America’s favorite past times. Best Snacks has held the number

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 interview session has been done by include an open-ended and closed-ended question which are related to the implemented project. Next, sampling technique is executed by system analyst who does evaluation to the current system or prototype. These processes give feedback in evaluation form that filled after tested the system. Lastly, observation is performed by using questionnaire form. According to Burch (1992), the questionnaire is analyzed and transform into structured form that easy to understand. After all information has been collected, structuring of system requirement takes place. It focused on development process modeling which perform “graphically representing the process, or actions, that capture, manipulate, store, and distribute data between a system and environment” (Hoffer, George, & Valacich, 2012, p. 182). In this step, Data flow diagram (DFD) is structured by system analyst using special tools and techniques to create a decision table. According to Hoffer, George and Valacich (2012), decision table is a “diagram of process logic where the logic is reasonably complicated” (p. 200). This table is useful to help system analyst to make a decision toward the project. Then all information’s gained from this phase are documented in System Analysis Report (SAR) that acts as a guideline or reference to the future system development project (Burch, 1992).

Having 15+ years of experience in IT and software. Lead and implemented various products and projects, experienced product manager in the enterprise application software. Strong customer advocate with deeply-held conviction that only by understanding the customer and the technology both can you build great software. Experience managing enterprise and multi-tenant software from early ideation through maintenance. Working in the field of RPA, Machine Learning, Java and Internet related technologies that include design, development, implementation and maintenance.