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E-SPIN
Tuesday, 29 November 2022 / Published in Global Themes and Feature Topics, Industries, Information Technology, Manufacturing

Establishing Digital immune System for high Software Quality

The advancement of technology is a two-edged sword. On one edge, it empowers software engineers with better tools to develop software applications, while on the other edge, it brings complexity in cyber security where without proper management will it heavily affect the quality of a software application.  In order to create a high quality software applications, software engineers must continuously be on the lookout for threats and vulnerabilities, both existing and new. This can be gained by establishing Digital Immune System.

Software Quality at a Glance

Agreeably, nobody will deny a high quality product. Thus, in what way can a software application be labelled as high quality software? Basically, a high quality software is a combination of various functionalities based on the Software Requirement Specifications (SRS). Those include great design with engaging user experiences, reliable & resilient where it is able to perform its functions in any occasion or environment and recovers quickly during an event, Secure where deployment can be done confidently without the risk of being non-compliance and failure due to known and unknown vulnerabilities.

Establishing Digital immune System for High Software Quality

Like the human immune system, a digital immune system is designed to defend the body (software applications), from foreign elements. It is a system that combines various approaches to ensure that application can be delivered in high quality by reducing business continuity risks such as cyberattacks, data breaches, unplanned IT outage and security incident. In establishing Digital Immune System, software engineering leaders need to enable their teams with five key practices which include:

1. Autonomous testing 

Autonomous testing makes use of artificial intelligence (AI) and machine learning (ML) based technologies to perform testing on software applications without the need for human intervention.

2. Chaos Engineering

Chaos engineering utilises fault injection testing to detect vulnerabilities and weaknesses. This testing involves injecting or bringing in failure into systems to ensure resiliency.

3. Autoremediation

Autoremediation revolves around building context-sensitive monitoring and automated remediation functionalities right into the software applications. It involves self-healing where it conducts both self-monitoring and auto remediation to detected issues without requiring the operations staff.

4. Observability 

Observability refers to the practice that lets software and system to become ‘visible’ in which this allows software developers and engineers to rapidly identify and isolate the source of problems.

5. Continuous Validation

Continuous validation is a practice that involves ongoing monitoring of application where detection on data
inconsistencies and anomalous system behaviour is performed continuously that should be followed with autoremediation.

In summary, technologies had made the building of software applications a lot easier. Nevertheless, consumers are all about performance and expectations. Thus, establishing digital immune system that combines practices and approaches that brings about astounding results on performance and expectations should become your gateway towards building high software quality.

E-SPIN Group in the business of enterprise ICT solutions supply, consulting, project management, training and maintenance, for multinational corporations and government agencies across the region E-SPIN did business, since 2005. Please feel free to contact E-SPIN for your requirements and project inquiry.

Other post you may be interested in:

1. What is digital immune system and its importance?

2. Why does Digital Immune System matter in enhancing CX

3. Understanding Site Reliability Engineering (SRE) and Its Principles

4. How autonomic system reduces complexity of computing system

5. Insights as Key to Successful Digital Immune System

Tagged under: Digital Immune System (DIS), software engineering

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