scholarly journals Improvements in Agile Model using Hybrid Theory for Software Development in Software Engineering

2014 ◽  
Vol 90 (16) ◽  
pp. 26-31 ◽  
Author(s):  
Ratnmala R.Raval ◽  
Haresh M Rathod
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Agile Model ◽  
Hybrid Theory

scholarly journals Dynamic Agile Distributed Development Method

Mathematics ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 963 ◽  
Author(s):  
Muhammad Asgher Nadeem ◽  
Scott Uk-Jin Lee
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Rapid Development ◽  
Agile Development ◽  
Engineering Model ◽  
Team Members ◽  
Development Method ◽  
Distributed Development ◽  
Distributed Models ◽  
Agile Model

“Agile” is an effective software engineering model with a high trust and acceptance rate among its users. The term agility comes from the concept of rapid development and working in a team for better results and a faster competition rate when compared with any other software engineering model. In this study, an assessment of the different patterns, frameworks, and application program interfaces available for distributed development in an agile model is given. After analyzing the state-of-the-art distributed models, a novel framework of a dynamic agile distributed development method (DADDM) is introduced in this paper. Many researchers have worked on global software development using the agile approach; however, we are presenting the idea of incorporating the agile benefits with dynamic distributed software development. The applicability of the proposed model is checked via two selected parameters: a feasibility study and a business study. The complete DADDM development life cycle is presented in the methodology section. The techniques used in DADDM and team members’ roles and responsibilities in DADDM are defined in this study. This study reflects all pillars of planning, controlling, organizing, and management of leadership. The use of DADDM in distributed agile development encourages future researchers to use this proposed framework for comparison and testing of their models and to check the effectiveness through a comparison with DADDM.

A Quantitative Study of Waterfall and Agile Methodologies With the Perspective of Project Management

2022 ◽  
pp. 111-133
Author(s):  
Kenish Rajesh Halani ◽  
Kavita Jhajharia
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Extreme Programming ◽  
Prototype Model ◽  
Software Products ◽  
Customer Involvement ◽  
Waterfall Model ◽  
Almost All ◽  
Spiral Model ◽  
Agile Model

Software engineering is used in order to develop larger and complex software products. As software product is needed in almost all the industries, software engineering becomes really important. Software development can be done through various software development life cycle (SDLC) models like waterfall model, agile model, spiral model, prototype model, etc. SDLC is a framework that defines the tasks that to be performed at each step in the development process. Authors are mainly focusing on two models (i.e., waterfall and agile model). Waterfall model is a serial model which follows a strict sequence. Agile methodology can be divided into scrum methodology and extreme programming. Scrum methodology mainly focuses on how to manage tasks in a team-based environment. Scrum consists of three main roles. They are scrum master, product owner, and scrum team. While comparing both the models, the main difference obtained is waterfall does not allow any customer involvement while agile does allow it.

An Analysis of Process Characteristics for Developing Scientific Software

2011 ◽  
Vol 23 (4) ◽  
pp. 64-79 ◽  
Author(s):  
Diane Kelly
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Professional Training ◽  
Scientific Software ◽  
Development Environment ◽  
Engineering Development ◽  
Development Processes ◽  
Agile Software ◽  
Development Methods ◽  
Software Development Methods

The development of scientific software is usually carried out by a scientist who has little professional training as a software developer. Concerns exist that such development produces low-quality products, leading to low-quality science. These concerns have led to recommendations and the imposition of software engineering development processes and standards on the scientists. This paper utilizes different frameworks to investigate and map characteristics of the scientific software development environment to the assumptions made in plan-driven software development methods and agile software development methods. This mapping exposes a mismatch between the needs and goals of scientific software development and the assumptions and goals of well-known software engineering development processes.

scholarly journals Towards Specific Software Engineering Practices for Early-Stage Startups

2020 ◽  
pp. 18-22
Author(s):  
Jorge Melegati ◽  
Rafael Chanin ◽  
Afonso Sales ◽  
Rafael Prikladnicki
Keyword(s):  
Software Engineering ◽  
Software Development ◽  
Early Stage ◽  
Position Paper ◽  
Market Driven ◽  
Engineering Practices ◽  
Software Development Practices

Abstract In this position paper, our goal is to argue the need for specific software development practices to early-stage startups. In order to reach this goal, we discuss the consequences of innovative and market-driven contexts, which are two of the key elements when describing software startups. We also argue that these practices could be applied to innovative initiatives within established companies since they share similar characteristics and challenges as those from startups.

Sign in / Sign up

Export Citation Format

Share Document