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Artificial Intelligence (AI)

Artificial Intelligence is the future in Software development.

AI & Software Development

Software engineering is the principles which are used in the development of “intelligent software”. The process of software development is a long, complicated process and it’s a human-oriented activity can be challenging. Overall, the central concepts of Artificial Intelligence are becoming a norm to various systems used in software engineering. There are a number of AI techniques being utilized by developers that deliver such software.

You’re probably asking yourself:

  • What is Software engineering?
  • What’s Artificial Intelligence?
  • How is Artificial Intelligence related to Software engineering?
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Engineering Principles

Software Engineering is the art of engineering principles that can use for the efficient and effective development of high quality and most extensive software system. The goal is to support software engineers and managers to develop better software faster with intelligent tools and method. Overall, the investigation is the process of decomposing something into components or modules intending to understanding the individual element.

What is AI – Google Duplex

Artificial intelligence is that field of computer usage which attempts to construct the computational mechanism for activities that are considered to require knowledge when performed by humans. AI focuses on creating the machine that can engage in behaviors that humans deemed intelligent. Also, is concerned with the study and engineering of computer building blocks that generate some form of intelligence and attempts to apply such knowledge to the design of computer-based systems that can understand a natural language of intelligence. Confusing hey? In layman’s terms its a matter of getting the software to behave like humans. A great example is Google Duplex, where developers were able to use voice recognition to replay to a human.

Artificial Intelligence in Software Engineering

Software engineering is the introduction of a formal engineering principle to the creation and production of the software. Primarily deals with the development of the software. Development of software is a long process which goes through various phases and requires an executable code. Human beings have been writing code for the development of the software for a long time and no machine can yet do better. AI is the process of creating intelligent devices that perform tasks done by human beings. Artificial intelligence technique could use to improve many of the software development activities. Hence, there is significant potential for promoting all phases of SDLC (Software development life cycle).

Two Kinds of Knowledge Programming

Software engineering is categorized into two kinds of programming knowledge (e.g., construction of data structure, controlling structure, programming language syntax and how to combine and choose them) and domain knowledge (e.g., concepts, theories, and equations characterizing the particular domain). A field has unique properties which must map to the programming language being used. Thus it requires a conversion from one knowledge to another (i.e., from domain knowledge to programming knowledge or from domain to the programming language).In this case, some method is required for the conversion. Hence, the need for AI.

Artificial Intelligence Techniques

Expert system development: Expert system use knowledge rather than data to control the solution process. Knowledge engineers build systems by eliciting knowledge from experts, coding, that knowledge in an appropriate form, validating the understanding, and ultimately constructing a system using a variety of building tools The main phases of the expert system development processes are:

  • Planning
  • Knowledge acquisition and analysis
  • Knowledge design
  • Code
  • Knowledge verification
  • System evaluation

 

 

Examples of AI…

Use of AI to Help Assist, and Build the Processes:

The main idea here is to create an expert system to support software engineers during software development. There was one proposal, called the Programmer’s Apprentice Project (PAP). The PAP should have the capability of interacting with the human programmers precisely the same way as human assistants would, thereby hopefully increasing the productivity of the human programmers. The first implementation, the Apprentice would only be able to handle “the simplest and most routine parts” of programming. As time progresses, data collection and research continues, the Apprentice should be able to deal with more complicated tasks and solve more complex problems. But, human programmers still need to maintain and implement the code of a ‘tricky’ nature (such as abstract reasoning).

Use of AI to help Automation and Procedures:

The idea here is to have an automated program service itself. It does by having human specialists write a complete and targeted specification of the desired software; so a system that can generate “functions, data structures, or entire programs” directly from the specs. Many possible AI technologies could be applied. For example, analogical reasoning in software reuse. Here, the idea is to find a system with similar requirements and modify it. Although this process looks feasible, it has not demonstrated to be perfect in software engineering. 

Constraint Programming:

Constraint programming has been used to design the system Pattern Trace Identification, Detection, and Enhancement in Java. PTIDEJ is an automated system designed for identification of microarchitectures looking like design patterns in the object-oriented design pattern. A microservices-architecture defines a subset of classes in an object-oriented program. The primary interest of PTIDEJ is that it can provide explanations for its answers. It is interesting since coding and software engineering is often considered a form of art and tried to fully automated with potential users or programmers.

Search Based Software Engineering (SBSE)

Search Based Software Engineering (SBSE) is an emerging research topic that focuses on representation aspects of Software Engineering as problems that may be solved using search algorithms developed in AI. SBSE is the reformulation of software engineering tasks as optimization problems. One of the optimization and search techniques that could use are genetic algorithms. Genetic algorithms have used for automatic code generation by optimizing a population of trial solutions to a problem. The individuals in the community are computer programs.

Summary of AI

Software engineering helps us to build more “intelligent” software products, The quality of the products could increase by using AI techniques. Also, using AI-based systems with the help of the automated tool or automated programming tool we can eliminate risk assessment phase saving our time in software development. Overall,  Artificial techniques in Software Engineering can reduce the development time in software development. One of the most challenging problems in the development of software is the problem of transforming requirements into architectures. Recent work should progress towards the ultimate goal of fully automated systems.

 

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