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Incorporating P-Modeling Framework into Software Development Life Cycle (SDLC)

Incorporating P-Modeling Framework into Software Development Life Cycle (SDLC)

Incorporating P-Modeling Framework into Software Development Life Cycle (SDLC) 1

Regardless of what type of development process is used in an organization; waterfall, spiral, various iterative-incremental or some others, there are certain processes, such as software design, quality control, human resources management, risk management, communication management, etc. to which can P-Modeling Framework principles can be applied, especially in the earlier stages of a project when quality control activities are either minor or (virtually) absent

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Software development process

In software engineering, a software development process is the process of dividing software development work into distinct phases to improve design, product management, and project management. It is also known as a software development life cycle (SDLC). The methodology may include the pre-definition of specific deliverables and artifacts that are created and completed by a project team to develop or maintain an application. Most modern development processes can be vaguely described as agile. Other methodologies include waterfall, prototyping, iterative and incremental development, spiral development, rapid application development, and extreme programming. Some[who?] consider a life-cycle "model" a more general term for a category of methodologies and a software development "process" a more specific term to refer to a specific process chosen by a specific organization. For example, there are many specific software development processes that fit the spiral life-cycle model. The field is often considered a subset of the systems development life cycle.

Incorporating P-Modeling Framework into Software Development Life Cycle (SDLC) 2

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Software development management for small disconnected team

You can setup one of the free issue tracking systems available on the web. Bugzilla and Trac are probably the most popular free systems. On the plus side they have task categorization and support email alerts, but they require some effort to setup and maintain. These systems are designed primarily for programmers and helpdesk employees and integrate well with popular development software. This means that the programmers will probably find it easy to use, while it may not be entirely suited for the project manager.If you want free software that focuses more on project management take a look at the project management software listed on Wiki (Note: list contains both commercial and free software). Unfortunatly, I have no experience with this so I cannot recommend anything.The simplest solution may be to convert your Excel spreadsheet to a Google documents spreadsheet. This is free, web-based, simple to adapt and allows you to track changes to the spreadsheet. You can also send an email to all the document's collaborators, but you have to do that manually.

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First x86 Software Development Manual

It started out as a single manual covering hard and software, theThe 8086 Family User's Manual.Before that there were only data sheets and manuals about single components, software tools and development boards as well as premade components (iSBC computer boards) (*1).After that it became the iAPX 86,88 User's Manual. The 80286 manuals (*2) were the first to add specific software writing (*3) manuals with the 1983 manuals:iAPX 286 Programmer's Reference Manual iAPX 286 Operating Systems Writer's guide*1 - At that point it's important to keep in mind, that despite the 8086 being introduced in August 1978, documentation beside data sheets did not show up until the 1979 data books.*2 - Well, that and the 186 manuals of the same time.*3 - There have been others before on the topic of software related items, like the 80130/150 Operating System Processors, but they are strictly about application of their embedded software blocks.

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What are the worst false economies in software development? [closed]

Long feedback loops!It happens to everybody: you build something that you think is awesome, and it turns out you were wrong. That is not the problem. The problem is how long you spend building before finding out that you should stop.At the high level, you see this problem with long release cycles. If you build for a year without feedback, you are gambling the whole year. The more often you release, the smaller your gambles, and the better you get at gambling.But it also happens at the lowest levels. As a developer, I really like frequent code reviews (or, better, pair programming) because it limits the amount of time I can continue doing something dumb before somebody says, "Hey, there's a simpler way!" For the same reason, I like my unit tests to run quickly and frequently, so I can catch and kill bugs before they grow. Once you start noticing the importance of short feedback loops, you will see it everywhere. E.g., the military notion of the OODA loop

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