Software Development

About the service

Software development refers to a set of computer science activities that are dedicated to the process of creating, designing, deploying, and supporting software.

Software itself is the set of instructions or programs that tell a computer what to do. It is independent of hardware and makes computers programmable. There are three basic types:

System software to provide core functions such as operating systems, disk management, utilities, hardware management and other operational necessities.

Programming software to give programmers tools such as text editors, compilers, linkers, debuggers, and other tools to create code.

Application software (applications or apps) to help users perform tasks. Office productivity suites, data management software, media players and security programs are examples. Applications also refer to web and mobile applications like those used to shop on Amazon.com, socialize with Facebook or post pictures to Instagram.

A possible fourth type is embedded software. Embedded systems software is used to control machines and devices not typically considered computers — telecommunications networks, cars, industrial robots and more. These devices, and their software, can be connected as part of the Internet of Things (IoT).

Software development is primarily conducted by programmers, software engineers and software developers. These roles interact and overlap, and the dynamics between them vary greatly across development departments and communities.  

Programmers, or coders, write source code to program computers for specific tasks like merging databases, processing online orders, routing communications, conducting searches, or displaying text and graphics. Programmers typically interpret instructions from software developers and engineers and use programming languages like C++ or Java to carry them out.

Software engineers apply engineering principles to build software and systems to solve problems. They use modeling language and other tools to devise solutions that can often be applied to problems in a general way, as opposed to merely solving for a specific instance or client. Software engineering solutions adhere to the scientific method and must work in the real world, as with bridges or elevators. Their responsibility has grown as products have become increasingly intelligent with the addition of microprocessors, sensors, and software. Not only are more products relying on software for market differentiation, but their software development must be coordinated with the product’s mechanical and electrical development work.

Software developers have a less formal role than engineers and can be closely involved with specific project areas — including writing code. At the same time, they drive the overall software development lifecycle — including working across functional teams to transform requirements into features, manage development teams and processes, and conduct software testing and maintenance.

The work of software development isn’t confined to coders or development teams. Professionals such as scientists, device fabricators and hardware makers also create software code even though they are not primarily software developers. Nor is it confined to traditional information technology industries such as software or semiconductor businesses. In fact, according to the Brookings Institute (link resides outside ibm.com), those businesses “account for less than half of the companies performing software development.”

An important distinction is custom software development as opposed to commercial software development. Custom software development is the process of designing, creating, deploying, and maintaining software for a specific set of users, functions, or organizations. In contrast, commercial off-the-shelf software (COTS) is designed for a broad set of requirements, allowing it to be packaged and commercially marketed and distributed.

What’s part of the service

ASOL Digital developing software process involves the following steps:

• Selecting a methodology to establish a framework in which the steps of software development are applied. It describes an overall work process or roadmap for the project. Methodologies can include Agile development, DevOps, Rapid Application Development (RAD), Scaled Agile Framework (SAFe), Waterfall, and others.

• Gathering requirements to understand and document what is required by users and other stakeholders.

• Choosing or building an architecture as the underlying structure within which the software will operate.

• Developing a design around solutions to the problems presented by requirements, often involving process models and storyboards.

• Building a model with a modeling tool that uses a modeling language like SysML or UML to conduct early validation, prototyping, and simulation of the design.

• Constructing code in the appropriate programming language. Involves peer and team review to eliminate problems early and produce quality software faster.

• Testing with pre-planned scenarios as part of software design and coding — and conducting performance testing to simulate load testing on the application.

• Managing configuration and defects to understand all the software artifacts (requirements, design, code, test) and build distinct versions of the software. Establish quality assurance priorities and release criteria to address and track defects.

• Deploying the software for use and responding to and resolving user problems.

• Migrating data to the new or updated software from existing applications or data sources if necessary.

• Managing and measuring the project to maintain quality and delivery over the application lifecycle, and to evaluate the development process with models such as the Capability Maturity Model (CMM).

The steps of the software development process fit into application lifecycle management (ALM). We use tools that enables the management of parallel mechanical, electrical, and software development.

• Requirements analysis and specification

• Design and development

• Testing

• Deployment

• Maintenance and support

Software development process steps can be grouped into the phases of the lifecycle, but the importance of the lifecycle is that it recycles to enable continuous improvement. For example, user issues that surface in the maintenance and support phase can become requirements at the beginning of the next cycle.

Key features of effective software development

Using software development to differentiate brands and gain competitive advantage requires proficiency with the techniques and technologies that can accelerate software deployment, quality and efficacy.

• Artificial intelligence (AI): AI enables software to emulate human decision-making and learning. Neural networks, machine learning, natural language processing and cognitive capabilities present developers and businesses with the opportunity to offer products and services that disrupt marketplaces and leap ahead of the competition.

• Cloud-native development: Cloud-native development is a way of building applications to use cloud environments. A cloud-native application consists of discrete, reusable components that are known as microservices that are designed to integrate into any cloud environment. These microservices act as building blocks and are often packaged in containers. Because of this architecture, cloud-native applications can use cloud environments to improve application performance, flexibility, and extensibility.

• Cloud-based development: Just as IT organizations look to the cloud to improve resource management and cut costs, so do software development organizations. In this way, the cloud can be used as a fast, flexible, and cost-efficient integrated development environment (IDE) or development Platform as a Service (PaaS). Cloud-based development environments can support coding, design, integration, testing, and other development functions. They can also offer access to APIs, microservices, DevOps and other development tools, services and expertise.
• Blockchain: Blockchain is a secure, digitally linked ledger that eliminates cost and vulnerability that is introduced by parties like banks, regulatory bodies and other intermediaries. It is transforming businesses by freeing capital, accelerating processes, lowering transaction costs and more.  Blockchain presents a tremendous opportunity for software development. Developers are working with distributed ledgers and open source Hyperledger (link resides outside ibm.com) technology to change how businesses operate.

• Low code: Forrester defines low code as: “Products and/or cloud services for application development that employ visual, declarative techniques instead of programming and are available to customers at low- or no-cost in money and training ...”  In short, it’s a development practice that reduces the need for coding and enables noncoders or citizen developers to build or help build applications quickly and at lower cost.

• Analytics: Annual demand for data scientists, data developers, and data engineers will reach nearly 700,000 openings by 2020. The demand signifies how critical it is for companies to gain insight and value from the explosion of data. Accordingly, software developers are integrating advanced analytics capabilities into their applications. Cloud-based services and APIs make it simpler to guide data exploration, automate predictive analytics and create dashboards that deliver new insights and improve decision making.

• Model Based Systems Engineering (MBSE): In MBSE, software modeling languages are used to perform early prototyping, simulation, and analysis of software designs for early validation. Building designs in MBSE helps you to analyze and elaborate project requirements and move rapidly from design to implementation.  

• Mobile: A key capability for software developers is creating mobile apps with deep connections to data that enriches and elevates user experiences. Forrester has found that “deeply integrating digital/mobile customer data has a strong effect on how customers interact with brands.”

ASOL Digital can help you embrace an end-to-end management approach to your systems and software development. Conquer complexity from design to execution, unite teams through digital thread, leverage modeling and reuse, harness insights from automated reporting, and confidently operate at scale.