Software Maintainability Estimation in Agile Software Development

Agile methodologies have gained wide acceptance for developing high-quality products with a quick and flexible approach. However, until now, the quality of the agile process has not been validated quantitatively. Quality being important for the software system, there is a need for measurement. Estimating different quality factors will lead to a quality product. Also, agile software development does not provide any precise models to evaluate maintainability. Therefore, there is a need for an algorithmic approach that can serve as the basis for estimation of maintainability. The article proposes an adaptive neuro-fuzzy inference system (ANFIS) model for estimating agile maintainability. Maintainability is one of the prominent quality factors in the case of agile development. The proposed model has been verified and found to be effective for assessing the maintainability of agile software.

3D Knitted Preforms Using Large Circular Weft Knitting Machines

Abstract3D-knits are typically produced on flat knitting or special circular knitting machines in a time-consuming process. The utilisation of a sewing-like pattern opens up the potential of a 10–50 times faster production on common large circular knitting machines as compared to conventional flat knitting machines. Since common large circular knitting machines are not designed for this technology, the limitations and the stability of process conditions have been rarely studied. To further proof the feasibility and increase technological maturity, agile product development is conducted. As a concept product, a sports bra with customised cups is developed and demonstrated, which is knitted in a single step in approx. 5 min using the sewing-like pattern on a large circular knitting machine. The agile process is utilised to build process knowledge, develop a methodology for product design and to defined a descriptive process terminology. In order to further accelerate and digitize the production process, an algorithm is developed and implemented to convert CAD-data into machine readable knitting structures. The paper presents the basics of the 3D-Knit one large circular knitting machines and a defined terminology. Furthermore, process knowledge is built up and from this a sequence of development steps is derived. The development of a 3D-knitted sports bra is presented as a proof of concept of the technology. Further, the first steps for digitalising the product development process are given. The results open up application possibilities in sportswear, upholstery and aerospace with increased productivity and hence cost reduction.

The Effect of DevOps Implementation on Teamwork Quality in Software Development

Background: The Agile method, which is claimed to reduce time needed for software development cycle has been widely used. It addresses communication gaps between customers and developers. Today, the DevOps has been extended as part of the Agile process to address communication gaps between developer’s team members. Despite the rising popularity, the effect of DevOps implementation on the teamwork quality in software development is still unknown.Objective: The objective of this research is to conduct a study on the impact of DevOps on teamwork quality. Two software houses, PT X and PT Y, are chosen as the case studies.Methods: This research uses quantitative methods to analyse research data using simple linear regression. The questionnaire technique is used to retrieve respondent data using 62 questions, consisting of 20 DevOps questions from 4 indicators and 42 teamwork quality questions from 6 indicators.Results: The results from various quality tests indicate that all instruments are valid and reliable while hypothesis tests showed that the DevOps implementation variable has an influence on the teamwork quality variable by 75.6%.Conclusion: It can be concluded that the implementation of the DevOps in software development has a positive correlation with the teamwork quality.

Developing Learning Agile Behavior

“Developing Learning Agile Behavior: A Model and Overview” focuses on how the development of learning agility creates a competitive advantage for leaders and their organizations. This chapter summarizes theories relevant to learning agility that have evolved over the past 50 years and the factors likely to influence learning agility development. An integrated learning agility model is proposed, the Learning Agile Process, consisting of (1) identifying the need for change, (2) planning for change, (3) implementing change, and (4) regulating and monitoring change. The model also outlines Learning Agile Behaviors that enable leaders to navigate this process: (1) observing, (2) doing, (3) connecting, (4) thinking, and (5) mobilizing. Thirty practical, learnable strategies for increasing learning agility are also provided. The chapter concludes with questions that remain to be answered in understanding the behaviors that contribute to agile learning.

Estimation of software quality parameters for hybrid agile process model

This study aims to motivate a new hybrid agile methodology is a combination of agile models from Scrum, Extreme Programming, and Lean Software Development. The main aim of the hybrid agile model is the timely delivery of projects to clients with high quality at a reduced rate. But the main difficulty in hybrid agile model to effectively reflect the software quality attributes. Basically, the failure of a software project is mainly not because of inefficiency of functional features but due to inefficiency of quality attributes, like performance, reliability and effective usability. The work presents the introduction of Hybrid Agile Quality Parameter Analysis (HAQPE) that is a quality attribute driven agile development method. The outcome of developed quality attribute HAQPE was evaluated through hybrid agile process assessment by applying it to a commercial project of software industry. The results demonstrated that the developed quality attribute model is more efficient than the legacy agile development process.

A RANKING OF COUNTRIES CONCERNING PROGRESS TOWARDS A SOCIETY 5.0

The Fourth Industrial Revolution has arrived, and we are trying to adapt to the innovations. It is changing the way we interact in society, how we consume, live and work. But this agile process already presents a new stage that takes place in conjunction with the new digital age, involving people, technology, sustainability, risks and opportunities: it is the 5.0 Society. This article seeks to understand the impact of ongoing changes and the needs around sustainability, analyzing key indicators that include both movements. With this, we hope to obtain data on the possibility of building the new Sustainable Technology Society, besides investigating the next steps to make this happen in Latin America. In this study, 35 variables were analyzed a sample of 57 countries, including management, business, sustainability, technology, education and Society 5.0 dimensions, among others. We present an analysis of the relationship between the variables and the creation of a synthetic indicator, called S5I (Society 5.0 Index), which allows us to show the position of each country in this ranking. This is the discussion we present here.

Adding Emotions to Models in a Viewpoint Modelling Framework From Agent-Oriented Software Engineering

In modern software development, considering the viewpoints of stakeholders is an important step in building the right system. Over the past decade, several authors have proposed solutions to capture and model these viewpoints. While these solutions have been successful, emotions of stakeholders have been largely ignored. Considering the emotional needs of stakeholders is important because both the users' perceptions of a product and their use of a product are influenced by emotion as much as cognition. Building on recent work in modelling the emotional goals of stakeholders, the authors extend an existing viewpoint framework to capture emotions, and to use emotions in models from early-phase requirements to detailed software design. They demonstrate the models and framework with a case study of an emergency alarm system for older people, presenting a complete set of models for the case study. The authors introduce recent experience in using emotional models in requirements elicitation within an agile process.