Software Startup Practices - Software Development in Startups Through the Lens of the Essence Theory of Software Engineering

Software Development Methodologies Evolutionary Trends from Waterfall to DevOps

Agile and DevOps are currently the most popular software development techniques. Software methodologies started with the application of the Waterfall model and other models of Software development. It provides a general overview of the approaches and their integration throughout the Software Development Life Cycle (SDLC). SDLC phases are described and different SDLC methodologies are discussed with respect to their impact on motivation, productivity and quality. A comparison of the traditional Waterfall and newer iterative/incremental/agile is identified, as are the reasons behind this change, such as customer participation, timely feedback, and quality improvement. The following issues are common to all methodologies: architecture limitations, scalability and organizational restrictions. It was identified that the industry tends to follow a hybrid Agile-DevOps practice with more emphasis on automation, continuous integration and collaboration to achieve quick and competitive software environments.

WEB SYSTEM FOR METRICS CONTROL APPLYING THE GQM METHOD IN A SOFTWARE DEVELOPMENT CENTER

On the Understanding of the Benefits and Challenges of DT Adoption in Software Development: a Cross-data Analysis

Critical Success Factors in Global Software Development: A Systematic Literature Review

Seven major CSFs that drive success in globally distributed projects are revealed, highlighting a major paradigm shift within the software industry: socio-technical skills and reliable technology now carry significantly more weight than strict, traditional processes.

Technical Debt Management in Continuous Software Engineering: State of the Art and Research Agenda

Software companies have streamlined their engineering processes, and continuous development has been key to achieving flexible, market‐driven software solutions. Continuous software engineering (CSE) emerged as an approach to iteratively develop and maintain software, integrating business strategy, development, and operations aligned with agile principles. CSE activities also lead to technical debt (TD) buildup, negatively impacting software quality over time, so technical debt management (TDM) in CSE is crucial. However, TD in CSE is still poorly understood, as well as its causes and consequences, and how to better manage it. In addition, to the best of our knowledge, no study has investigated TDM in CSE. This paper then presents the state of the art of TDM in CSE, focusing on TD causes and consequences and how to manage them continuously. For this, we carefully examined the literature and selected 56 relevant studies from an initial set of 1299. Our main findings indicate that the field is relatively young and has considerable industry involvement. While most studies reported an experience with TD in continuous and agile contexts or the use of systematic approaches for TDM (e.g., frameworks and processes), none investigated TD explicitly in CSE or tried to understand its causes and consequences in those contexts. Some CSE activities addressed TD, particularly those associated with development, such as continuous architecting, coding, verification/testing, and documentation. Other important activities at the business and operation levels were left aside. These findings supported us in defining a research agenda with important research opportunities that could contribute to maturing the field.

Qualitative Analysis of Industry Personnel’s Perspective on Future Ready Software Engineering Undergraduate Employability

The objective of this research is to obtain feedback from industry experts to understand the challenges related to the employability of future-ready software engineering undergraduate students and employs a qualitative study to gather the views of the experts.