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Artificial Intelligence (AI)

Artificial Intelligence is the future in Software development.

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AI & Software Development

Software engineering is the principle that is used in the development of “intelligent software.” Many AI techniques are utilized by developers that deliver such software. The software development process is a long, complicated process, and it’s a human-oriented activity that can be challenging. Overall, the central concepts of Artificial Intelligence are becoming a norm in various systems used in software engineering. 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 used to develop high-quality and extensive software systems. The goal is to support software engineers and managers to build better software faster with intelligent tools and methods. Overall, the investigation decomposes something into components or modules intending to understand the individual element.

What is AI – Google Duplex

Artificial intelligence is the field of computer usage that attempts to construct the computational mechanism for activities that require knowledge when performed by humans. AI focuses on creating a machine that can engage in behaviors that humans deem intelligent. Also, it is concerned with the study and engineering of computer building blocks that generate some form of intelligence and attempts to apply such knowledge to design computer-based systems that can understand the natural language of intelligence.

Confusing hey? In layperson’s terms, it’s a matter of getting the software to behave like humans. A great example is Google Duplex, where developers could 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 software. It primarily deals with the development of software. Software development is a long process that involves various phases and requires executable code. Humans have been writing code for software development for a long time, and no machine can do better. AI is the process of creating intelligent devices that perform tasks done by human beings. Artificial intelligence techniques could be used to improve many 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 that must map to the programming language used. Thus, it requires a conversion from one knowledge to another (i.e., domain knowledge to programming knowledge or 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 systems use knowledge rather than data to control the solution process. Knowledge engineers build systems by eliciting knowledge from experts, coding that knowledge appropriately, validating the understanding, and constructing a system using various 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 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 be capable of interacting with human programmers precisely the same way as human assistants would, hopefully increasing the productivity of the human programmers. The Apprentice would only handle “the simplest and most routine parts” of programming in the first implementation. As time progresses, data collection and research continue, the Apprentice should be able to deal with more complicated tasks and solve more complex problems. A great example of an application that assists is chatbots.

But, human programmers still need to maintain and implement 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. It does this by having human specialists write a complete and targeted specification of the desired software so a system 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. 

Constraint Programming:

Constraint programming has been used to design Pattern Trace Identification, Detection, and Enhancement in Java. PTIDEJ is an automated system designed to identify microarchitectures that look 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 explain its answers. It is interesting since coding and software engineering are often considered a form of art and tried to be 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 the 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. Genetic algorithms are one of the optimization and search techniques that could be used. Genetic algorithms have been used for automatic code generation by optimizing a population of trial solutions to a problem. The individuals in the community are computer programmers.

Summary of AI

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

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