How Predictive Software Engineering Can Smooth Development Processes

1088_PredictiveEngineering
Dec 20, 2017
3 minute read
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How Predictive Software Engineering Can Smooth Development Processes

How Predictive Engineering Can Smooth Software Development Processes

Software development, especially when handled by remote teams, can be a tricky process for companies. However, the collaboration with remote providers can be made smoother when built relying on a predictive software engineering (PSE) framework. According to a recent Deloitte survey, leading organizations are selecting remote providers to drive transformational change and improve business results. They expect a higher level of software development predictability from these agreements than even from in-house teams. To take advantage of remote collaboration, IT providers must adjust their approach to delivery. The PSE framework serves this purpose. This eWEEK slide show, using industry information from Intetics, explains the PSE idea in the following bullet points.


PSE Solves Issues in Remote Collaboration

PSE Solves Issues in Remote Collaboration

Software services are in high demand as companies launch digital transformation projects and focus on improving their core services. Many of them need scaling and developing their products and services, so they turn to remote IT providers with a request to regulate the development processes. However, before making a decision to cooperate with remote providers, the companies need to be sure they’ll escape from concerns like getting a quality result on time. A PSE framework gives the proper project direction in the beginning.


PSE Reconstructs Collaboration With Remote Development Teams

PSE Reconstructs Collaboration With Remote Development Teams

PSE advocates the development of custom software products in a way that is transparent and involves all parties. The framework is tailored for a pool of professionals who hold expertise and knowledge in specific areas. As a result, the companies receive a team of experts who align project workflow with initial client requirements and end-result expectations, thus making it all predictive.

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PSE Makes the Process Controllable and Predictable

PSE Makes the Process Controllable and Predictable

Concepts of predictive software engineering include “meaningful customer care” (ensuring clear communication with the client); “proven productivity” (ensuring the team is focused on the project objectives); “efficient distributed teams” (project-specific infrastructural and organizational models); “disciplined agile delivery” (agile methodology scaled for the enterprise); “technical debt reduction platform” (automated measuring of the key software quality metrics); “transparent end-to-end control” (creating a proactive environment); and “sound human development” (sustaining and growing talent).


PSE Breaks Process Into Pieces, Turns Best Practices Into Standards

PSE Breaks Process Into Pieces, Turns Best Practices Into Standards

PSE is effective for companies cooperating with a remote provider because the framework breaks the development process into pieces that are supervised by people with expertise in each specific field. They ensure the development and implementation of best practices into project workflow. The best practices with time turn into standards and make the software development process more precise and predictable.


Standardization of Processes Delivers the Right Solutions

Standardization of Processes Delivers the Right Solutions

Following standards puts everything in the right place. There are no universal soldiers on the project, since every team member is in charge of a certain task. This creates the environment where the structured process ensures success.


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Companies Can Measure the Results Delivered by Remote Teams

Companies Can Measure the Results Delivered by Remote Teams

One of the common issues of collaboration with remote providers is the inability to measure the results. A PSE framework provides metrics that allow analyzing the progress, prevention of problems and adjustment of the process.


End Results Fully Meet Requirements

End Results Fully Meet Requirements

The predictive software engineering framework assists companies in finding remote software providers with the required set of skills, experience and knowledge. It creates the environment where every project step achieves the defined objective, just as the client expected. The PSE framework eliminates uncertainty on remote projects and transforms the product development into the process that guarantees the results.

Chris Preimesberger

Chris J. Preimesberger is Editor Emeritus of eWEEK. In his 16 years and more than 5,000 articles at eWEEK, he distinguished himself in reporting and analysis of the business use of new-gen IT in a variety of sectors, including cloud computing, data center systems, storage, edge systems, security and others. In February 2017 and September 2018, Chris was named among the 250 most influential business journalists in the world (https://richtopia.com/inspirational-people/top-250-business-journalists/) by Richtopia, a UK research firm that used analytics to compile the ranking. He has won several national and regional awards for his work, including a 2011 Folio Award for a profile (https://www.eweek.com/cloud/marc-benioff-trend-seer-and-business-socialist/) of Salesforce founder/CEO Marc Benioff--the only time he has entered the competition. Previously, Chris was a founding editor of both IT Manager's Journal and DevX.com and was managing editor of Software Development magazine. He has been a stringer for the Associated Press since 1983 and resides in Silicon Valley.

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