A Project-Based Introduction to Agile Software Development

2014 ◽  
pp. 277-294
Author(s):  
Marc Lainez ◽  
Yves Deville ◽  
Adrien Dessy ◽  
Cyrille Dejemeppe ◽  
Jean-Baptiste Mairy ◽  
...  
Keyword(s):  
Software Development ◽  
Computer Science ◽  
Agile Software Development ◽  
Science Students ◽  
Project Development ◽  
Android Applications ◽  
Agile Process ◽  
Agile Software

This chapter shows how a lightweight Agile process has been used to introduce Agile project development to young computer science students. This experience has been conducted on a project aimed at developing Android applications. The context, the process, and the results of this experiment are described in this chapter.

scholarly journals INTEGRATING UCD WITHIN AN AGILE SOFTWARE DEVELOPMENT PROCESS IN AN EDUCATIONAL SETTING

2015 ◽  
Author(s):  
Olga Ormandjieva ◽  
Kristina Pitula ◽  
Cherifa Mansura
Keyword(s):  
Software Development ◽  
Learning Outcomes ◽  
Undergraduate Students ◽  
Agile Software Development ◽  
User Centered Design ◽  
Design Decisions ◽  
Ui Design ◽  
Approach To Teaching ◽  
Agile Process ◽  
Agile Software

The Canadian Engineering Accreditation Boardhas defined 12 attributes that an institution must demonstrategraduates of its engineering program possess. We are inpursuit of the attribute "Design” dealing with the students’ability to select candidate engineering design solutions fordevelopment, with three indicators relating to how candidatesolutions are selected. Our approach to teaching “Design” isbased on “learning outcomes” rather than “teaching inputs”.In this paper, we describe the learning outcomes of teaching anewly proposed Integrated User Centered Design (UCD)-Agile Process in the context of a one term project coursewherein teams of undergraduate students apply what theyhave learnt about Agile software development and UserInterface (UI) design in the context of a real-world projectwith actual clients. The Integrated UCD-Agile Processincludes upfront design of the UI in parallel with developmentof the functionalities, UI design specialists for each sprint andusability testing of all UI design decisions

Software Maintainability Estimation in Agile Software Development

2018 ◽  
Vol 9 (4) ◽  
pp. 65-78 ◽  
Author(s):  
Parita Jain ◽  
Arun Sharma ◽  
Laxmi Ahuja
Keyword(s):  
Software Development ◽  
Fuzzy Inference ◽  
Agile Software Development ◽  
Agile Development ◽  
Quality Factors ◽  
Inference System ◽  
Neuro Fuzzy ◽  
Software Maintainability ◽  
Agile Process ◽  
Agile Software

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.

scholarly journals Software reliability growth modeling for agile software development

2017 ◽  
Vol 27 (4) ◽  
pp. 777-783 ◽  
Author(s):  
Shubham Rawat ◽  
Nupur Goyal ◽  
Mangey Ram
Keyword(s):  
Software Development ◽  
Software Reliability ◽  
Agile Software Development ◽  
Agile Development ◽  
Transient Faults ◽  
Software Reliability Model ◽  
Proposed Model ◽  
Reliable Model ◽  
Agile Process ◽  
Agile Software

AbstractThe frequent incremental release of software in agile development impacts the overall reliability of the product. In this paper, we propose a generic software reliability model for the agile process, taking permanent and transient faults into consideration. The proposed model is implemented using the NHPP (non-homogenous Poisson process) and the Musa model. The comparison of the two implementations yields an effective, empirical and reliable model for agile software development.

Software Maintainability Estimation in Agile Software Development

2022 ◽  
pp. 1002-1017
Author(s):  
Parita Jain ◽  
Arun Sharma ◽  
Laxmi Ahuja
Keyword(s):  
Software Development ◽  
Fuzzy Inference ◽  
Agile Software Development ◽  
Agile Development ◽  
Quality Factors ◽  
Agile Methodologies ◽  
Neuro Fuzzy ◽  
Software Maintainability ◽  
Agile Process ◽  
Agile Software

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.

Coordination artifacts in Agile Software Development

2020 ◽  
Vol 30 (2) ◽  
pp. 100288 ◽  
Author(s):  
Anna Zaitsev ◽  
Uri Gal ◽  
Barney Tan
Keyword(s):  
Software Development ◽  
Agile Software Development ◽  
Agile Software
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