Today, Artificial Intelligence (AI) has a lot of applications across industries and business functions. It can also be used in the development of new age software. AI techniques like Machine Learning and Deep Learning can be used for accelerating the Software Development Life Cycle. Let us look at how AI can revolutionise software development process.<\/p>\n\n\n\n
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The traditional SDLC model consists of the following steps:<\/p>\n\n\n\n
The new machine learning development process consists of the\nfollowing steps:<\/p>\n\n\n\n
In the ML model of development, the engineer need not\ninstruct the computer on how to take decisions and actions. Instead, data can\nbe fed into algorithms and the machine learning model deduces features and\npatterns from the data. In this new model, software development will largely\nmove from being a programming process to a data oriented process.<\/p>\n\n\n\n
The traditional model that starts with requirements analysis\nand undergoes design, development and testing, is a model that has limitations\nwhen it comes to complex systems, whether we use it in a waterfall method or\nagile method. Complex systems when managed by human beings are prone to bugs. However,\nin the new ML process, the code is written by machine learning methods like back\npropagation and stochastic gradient descent. The advantages of such a model\nare:<\/p>\n\n\n\n
But there are some disadvantages as well:<\/p>\n\n\n\n
Artificial Intelligence methods can not only bring about a new model but can also augment the existing SDLC model. Some critical components like data management, security and front end interfaces must still be handled by regular software instead of machine learning code. Thus, in many situations, SDLC model is appropriate, but can be augmented by AI. The augmentation can be done in the following ways:<\/p>\n\n\n\n
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Normally, turning business requirements into prototypes takes a lot of time, but machine learning can shorten the process.<\/p>\n\n\n\n
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Intelligent Programming Assistants like Kite and Codota can save time for developers by offering them support in reading documentation and debugging. This support is in the form of recommending relevant documents, code examples and best practices.<\/p>\n\n\n\n
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AI solutions can save time for business leaders and development teams by helping them quickly identify which features of a product to be changed, by taking into account past projects and business factors.<\/p>\n\n\n\n
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Many development projects suffer from poor estimation of\ncosts and timelines. Machine Learning uses data from previous projects to give\nmore accurate predictions of cost and timelines.<\/p>\n\n\n\n
At Acropolis, we keep ourselves up to date with the latest\ntrends in software development and artificial intelligence. We can be your\ntrusted advisors and provide you with our services to take care of your needs.\nContact us right now to have our technology experts at your service! All you\nneed to do is have a detailed discussion with us about your needs, and upon\nyour approval of our recommendations, we will help you achieve your business\ngoals! And at affordable rates too! Even better, our services are available to\nbusinesses anywhere in the world! We cater to clients from US, UK, Australia,\nGermany, France and many more countries!<\/p>\n","protected":false},"excerpt":{"rendered":"
Today, Artificial Intelligence (AI) has a lot of applications across industries and business functions. It can also be used in the development of new age software. AI techniques like Machine Learning and Deep Learning can be used for accelerating the Software Development Life Cycle. Let us look at how AI can revolutionise software development process. […]<\/p>\n","protected":false},"author":9,"featured_media":347,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,115,15,2,14],"tags":[20,98,73,25,22,116,13,12,21],"class_list":["post-339","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-acropolis","category-artificial-intelligence","category-mobile-development","category-software","category-web-development","tag-acropolis","tag-artificial-intelligence","tag-custom-software-development","tag-mobile-app-development","tag-software-development","tag-software-development-lifecycle","tag-top-custom-software-development-company","tag-top-it-firms","tag-web-development"],"_links":{"self":[{"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/339"}],"collection":[{"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/comments?post=339"}],"version-history":[{"count":5,"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/339\/revisions"}],"predecessor-version":[{"id":346,"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/posts\/339\/revisions\/346"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/media\/347"}],"wp:attachment":[{"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/media?parent=339"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/categories?post=339"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.acropolisinfotech.com\/blog\/wp-json\/wp\/v2\/tags?post=339"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}