Timeboxing: Hurdles and Solutions
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An Analysis of Waterfall to Agile Methodology
University of New Hampshire University of New Hampshire Scholars' Repository Honors Theses and Capstones Student Scholarship Spring 2016 Information Systems Development Methodologies Transitions: An Analysis of Waterfall to Agile Methodology Oriana Karina Eason University of New Hampshire - Main Campus Follow this and additional works at: https://scholars.unh.edu/honors Part of the Business Commons Recommended Citation Eason, Oriana Karina, "Information Systems Development Methodologies Transitions: An Analysis of Waterfall to Agile Methodology" (2016). Honors Theses and Capstones. 286. https://scholars.unh.edu/honors/286 This Senior Honors Thesis is brought to you for free and open access by the Student Scholarship at University of New Hampshire Scholars' Repository. It has been accepted for inclusion in Honors Theses and Capstones by an authorized administrator of University of New Hampshire Scholars' Repository. For more information, please contact [email protected]. Information Systems Development Methodologies Transitions: An Analysis of Waterfall to Agile Methodology Oriana Eason Advised By: Khole Gwebu The University of New Hampshire Table of Contents 1.0 Introduction ............................................................................................................................... 3 1.1 Background ........................................................................................................................... 3 1.2 Research Justification .......................................................................................................... -
The Timeboxing Process Model for Iterative Software Development
The Timeboxing Process Model for Iterative Software Development Pankaj Jalote Department of Computer Science and Engineering Indian Institute of Technology Kanpur – 208016; India Aveejeet Palit, Priya Kurien Infosys Technologies Limited Electronics City Bangalore – 561 229; India Contact: [email protected] ABSTRACT In today’s business where speed is of essence, an iterative development approach that allows the functionality to be delivered in parts has become a necessity and an effective way to manage risks. In an iterative process, the development of a software system is done in increments, each increment forming of an iteration and resulting in a working system. A common iterative approach is to decide what should be developed in an iteration and then plan the iteration accordingly. A somewhat different iterative is approach is to time box different iterations. In this approach, the length of an iteration is fixed and what should be developed in an iteration is adjusted to fit the time box. Generally, the time boxed iterations are executed in sequence, with some overlap where feasible. In this paper we propose the timeboxing process model that takes the concept of time boxed iterations further by adding pipelining concepts to it for permitting overlapped execution of different iterations. In the timeboxing process model, each time boxed iteration is divided into equal length stages, each stage having a defined function and resulting in a clear work product that is handed over to the next stage. With this division into stages, pipelining concepts are employed to have multiple time boxes executing concurrently, leading to a reduction in the delivery time for product releases. -
Descriptive Approach to Software Development Life Cycle Models
7797 Shaveta Gupta et al./ Elixir Comp. Sci. & Engg. 45 (2012) 7797-7800 Available online at www.elixirpublishers.com (Elixir International Journal) Computer Science and Engineering Elixir Comp. Sci. & Engg. 45 (2012) 7797-7800 Descriptive approach to software development life cycle models Shaveta Gupta and Sanjana Taya Department of Computer Science and Applications, Seth Jai Parkash Mukand Lal Institute of Engineering & Technology, Radaur, Distt. Yamunanagar (135001), Haryana, India. ARTICLE INFO ABSTRACT Article history: The concept of system lifecycle models came into existence that emphasized on the need to Received: 24 January 2012; follow some structured approach towards building new or improved system. Many models Received in revised form: were suggested like waterfall, prototype, rapid application development, V-shaped, top & 17 March 2012; Bottom model etc. In this paper, we approach towards the traditional as well as recent Accepted: 6 April 2012; software development life cycle models. © 2012 Elixir All rights reserved. Keywords Software Development Life Cycle, Phases and Software Development, Life Cycle Models, Traditional Models, Recent Models. Introduction Software Development Life Cycle Models The Software Development Life Cycle (SDLC) is the entire Software Development Life Cycle Model is an abstract process of formal, logical steps taken to develop a software representation of a development process. SDLC models can be product. Within the broader context of Application Lifecycle categorized as: Management (ALM), the SDLC -
Drive Business Growth with Agile Processes Through Devops For
WHITE PAPER DRIVE BUSINESS GROWTH WITH AGILE PROCESSES THROUGH DEVOPS FOR SAP - Pravas Ranjan Rout Executive summary With the launch of SAP S/4 HANA across the globe, there is a higher risk for release defects and increased cost when migrating from legacy processes. To meet the need for robust and agile process innovation without business disruption, Infosys has designed a DevOps implementation methodology that reduces cycle time, accelerates time-to-market and lowers TCO. This paper explains the key elements in the solution approach to DevOps in SAP along with SAP tools and IPs that assure a risk-free and smooth DevOps transformation. External Document © 2018 Infosys Limited External Document © 2018 Infosys Limited Introduction engagements DevOps is relatively new. This creates significant challenges as In an increasingly technology-driven world, customers use several SAP products during DevOps represents a third-generation implementation and maintenance phases. process innovation framework that extends agile methodology to overcome the This new DevOps process will reduce challenges of collaboration, culture and release cycle time, number of defects automation. As technology evolves, so do during maintenance, and total cost of processes – from waterfall to agile and, ownership (TCO) while accelerating time subsequently, to DevOps. to market. To facilitate a smooth transition from waterfall to DevOps, Infosys has DevOps signifies collaboration between designed an iDEV framework that aligns development and operations teams for with the core metrics of DevOps. With a cohesive and integrated environment. this solution, organizations can accelerate While DevOps has had successful mobile execution with fewer defects in a and cloud implementations, for SAP collaborative and automated environment. -
Agile and Devops Overview for Business
NELKINDA SOFTWARE CRAFT Ƅ TRAINING Agile and DevOps Overview for Business Duration: 2 Days Available Languages: English Audience Everyone who is steering or involved in software delivery: Business, Management, Operations, Development, for example: CxOs, managers, directors, team leads, systems administrators, development managers, business analysts, requirements engineers, architects, product owners, scrum masters, IT operations sta', IT stakeholders, developers, testers Goals Agile and DevOps are the big drivers of organizational transformation today. What do they mean? Where do they come from? What are their goals? How can they help my organization and my team? How can I use and implement them? And are there any side-e'ects or challenges to consider? Learn the answers to these questions in a holistic perspective from the CxO level to the code about what Agile and DevOps mean for organizations of all sizes. Contents • Business Case for Improving the Software Development Life Cycle ◦ Evolution of the Software Development Life Cycle (SDLC) ◦ Business Drivers of the SDLC Evolution ◦ Principles of Agile, DevOps, Extreme Programming (XP), and Software Craft ◦ Goals and Objectives of Agile, DevOps (Development Operations), XP, and Software Craft ◦ The Pipeline for Value Delivery • Essential Principles ◦ Manifesto for Agile Software Development ("Agile Manifesto") ◦ The Values and Principles of XP ◦ Manifesto of Software Craft ◦ The Two Values of Software ◦ The Deming (PDCA, plan-do-check-act) Cycle ◦ The XP Feedback Loops ◦ Parkinson's Law and Timeboxing ◦ Conway's Law, Organizational Structure and Cross-functional responsibility ◦ KPIs (Key Performance Indicators) and Drivers: Story-Point Velocity, Cycle Time, WIP (Work In Progress) limit ◦ Heisenberg's Uncertainty Principle of Agile Estimation 1/3 https://nelkinda.com/training/DevOps-Driven-Agile © Copyright 2015-2020 Nelkinda Software Craft Private Limited. -
Multi Objective Analysis for Timeboxing Models of Software Development
MULTI OBJECTIVE ANALYSIS FOR TIMEBOXING MODELS OF SOFTWARE DEVELOPMENT Vassilis C. Gerogiannis and Pandelis G. Ipsilandis Department of Project Management, Technological Education Institute of Larissa, Larissa, Greece Keywords: Software Project Management, Iterative Development, Timeboxing, Project Scheduling, Linear Programming, Multi-Objective Optimization. Abstract: In iterative/incremental software development, software deliverables are built in iterations - each iteration providing parts of the required software functionality. To better manage and monitor resources, plan and deliverables, iterations are usually performed during specific time periods, so called “time boxes”. Each time box is further divided into a sequence of stages and a dedicated development team is assigned to each stage. Iterations can be performed in parallel to reduce the project completion time by exploiting a “pipelining” concept, that is, when a team completes the tasks of a stage, it hands over the intermediate deliverables to the team executing the next stage and then starts executing the same stage in the next iteration. In this paper, we address the problem of optimizing the schedule of a software project that follows an iterative, timeboxing process model. A multi objective linear programming technique is introduced to consider multiple parameters, such as the project duration, the work discontinuities of development teams in successive iterations and the release (delivery) time of software deliverables. The proposed model can be used to generate alternative project plans based on the relative importance of these parameters. 1 INTRODUCTION team of experts is usually assigned to each stage, i.e., a team for a stage performs only the activities In iterative and incremental development, software for that stage. -
A Comparison Between Five Models of Software Engineering
IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 5, September 2010 94 ISSN (Online): 1694-0814 www.IJCSI.org A Comparison Between Five Models Of Software Engineering Nabil Mohammed Ali Munassar1 and A. Govardhan2 1Ph.D Student of Computer Science & Engineering Jawahrlal Nehru Technological University Kuktapally, Hyderabad- 500 085, Andhra Pradesh, India 2Professor of Computer Science & Engineering Principal JNTUH of Engineering College, Jagityal, Karimnagar (Dt), A.P., India Abstract increased recently which results in the difficulty of This research deals with a vital and important issue in computer enumerating such companies. During the previous four world. It is concerned with the software management processes decades, software has been developed from a tool used for that examine the area of software development through the analyzing information or solving a problem to a product in development models, which are known as software development itself. However, the early programming stages have life cycle. It represents five of the development models namely, created a number of problems turning software an waterfall, Iteration, V-shaped, spiral and Extreme programming. These models have advantages and disadvantages as well. obstacle to software development particularly those Therefore, the main objective of this research is to represent relying on computers. Software consists of documents and different models of software development and make a programs that contain a collection that has been comparison between them to show the features and defects of established to be a part of software engineering each model. procedures. Moreover, the aim of software engineering is Keywords: Software Management Processes, Software to create a suitable work that construct programs of high Development, Development Models, Software Development Life quality. -
TASKCHECKLIST W
060-97_dennis3e_03.qxd 10/7/05 11:39 AM Page 60 PLANNING ✔ Identify Project ✔ Develop Systems Request ✔ Analyze Technical Feasibility ✔ Analyze Economic Feasibility ✔ Analyze Organizational Feasibility ✔ Perform Project Selection Review Estimate Project Time Identify Project Tasks Create Work Breakdown Structure Create PERT Charts Create Gantt Charts Manage Scope Staff Project Create Project Charter Set up CASE Repository Develop Standards Begin Documentation Assess and Manage Risk TASKCHECKLIST ▼ PLANNING ANALYSIS DESIGN 060-97_dennis3e_03.qxd 10/7/05 11:40 AM Page 61 CHAPTER 3 PROJECT MANAGEMENT T his chapter describes the important steps of project management, which begins in the Planning Phase and continues throughout the systems development life cycle (SDLC). First, the project manager estimates the size of the project and identifies the tasks that need to be performed. Next, he or she staffs the project and puts several activities in place to help coordinate project activities. These steps produce important project man- agement deliverables, including the workplan, staffing plan, and standards list. OBJECTIVES I Become familiar with estimation. I Be able to create a project workplan. I Understand why project teams use timeboxing. I Become familiar with how to staff a project. I Understand how computer-aided software engineering, standards, and documen- tation improve the efficiency of a project. I Understand how to reduce risk on a project. CHAPTER OUTLINE Introduction Staffing Plan Identifying Project Size Motivation Function Point -
Example of Waterfall Model in Software Testing
Example Of Waterfall Model In Software Testing Jarrett usually sectionalizing frumpishly or feezed paradigmatically when vagrom Jermain bitten laxly and fraudulently. Carlos Teletypes prayerlessly. How turgescent is Albrecht when imperishable and endearing Herby harbinger some progeny? What it to implement and software testing It is especially true for example of waterfall model in software testing! There should there is an example of coding is an app for resource utilization of pure waterfall model we thought of these. Therefore focus on making changes into account for alternative approaches within this example of waterfall in software testing model that. Basic prerequisite for many ways which may have been implemented taking into an extension of the demand that of waterfall model, which aspects is easier and adapted to. In progress within given bug free email address is used for example of waterfall in software testing model. Unlike six methodologies such platform for example of waterfall in software model? Being tested by this browser does not a clear. Methods have at various factors and product, its preceding sprints or evolutionary prototype several years before any personal findings, and technology you. It has been arguing over the design of waterfall model in software testing the user interface. Lucidchart document them responsible for example of waterfall in software testing model. They must also suggested that was laid out the requirements are constantly under requirement change the example of waterfall in software model testing and write the traditional methods, and highly skilled to. Learn more product such as well understood and of waterfall in software model testing and accountability are done to see if a review them throughout the items on. -
Comparative Study of Waterfall Model with RAD Model Sunil D
e-ISSN: 2349-9745 p-ISSN: 2393-8161 Scientific Journal Impact Factor (SJIF): 1.711 International Journal of Modern Trends in Engineering and Research www.ijmter.com Comparative study of Waterfall model with RAD model Sunil D. Mone1 Assistant Professor in Computer Science,R. C. Patel ACS College, Shirpur-425 405(MS) Abstract:Among numerous software development architecture or para diagrams it is important to choose proper architecture. To choose proper architecture, need to consider some criteria based on which we can compare two or more architectures. In this paper I am trying to compare and see feasibility of Water fall model and RAD model based on criteria like Systematic Development, Team sized required, Speed, Involvement of user, Complexity, Parallel Development, Success Ratio, Passions Required, Capacity to handle large project. It seen that when time is more important in that case RAD model is important while when focus is on systematic Waterfall model is more important. Keywords:Architecture, paradiagrams, waterfall model, RAD model, featuers, feasibility, systematic developemtn, economic I. INTRODUCTION Ther are numerus software development architechtures or software development paradiagrams. Mostly it seen that improper selection of architectuer may lead to unpreditably increase in cost and time or even may leads to failuare. Architecture design plays a prominent role in software engineering processes. Regardless of the variations in software engineering processes, software architecture provides the skeleton and constraints -
Software Development a Practical Approach!
Software Development A Practical Approach! Hans-Petter Halvorsen https://www.halvorsen.blog https://halvorsen.blog Software Development A Practical Approach! Hans-Petter Halvorsen Software Development A Practical Approach! Hans-Petter Halvorsen Copyright © 2020 ISBN: 978-82-691106-0-9 Publisher Identifier: 978-82-691106 https://halvorsen.blog ii Preface The main goal with this document: • To give you an overview of what software engineering is • To take you beyond programming to engineering software What is Software Development? It is a complex process to develop modern and professional software today. This document tries to give a brief overview of Software Development. This document tries to focus on a practical approach regarding Software Development. So why do we need System Engineering? Here are some key factors: • Understand Customer Requirements o What does the customer needs (because they may not know it!) o Transform Customer requirements into working software • Planning o How do we reach our goals? o Will we finish within deadline? o Resources o What can go wrong? • Implementation o What kind of platforms and architecture should be used? o Split your work into manageable pieces iii • Quality and Performance o Make sure the software fulfills the customers’ needs We will learn how to build good (i.e. high quality) software, which includes: • Requirements Specification • Technical Design • Good User Experience (UX) • Improved Code Quality and Implementation • Testing • System Documentation • User Documentation • etc. You will find additional resources on this web page: http://www.halvorsen.blog/documents/programming/software_engineering/ iv Information about the author: Hans-Petter Halvorsen The author currently works at the University of South-Eastern Norway. -
Software Engineering
Software Engineering Computer Science Tripos 1B Michaelmas 2011 Richard Clayton Managing complexity • Software engineering is about managing complexity at a number of levels • At the micro level, bugs arise in protocols, algorithms etc. because they’re hard to understand • As programs get bigger, interactions between the components grow at O(n2) or even O(2n) • … • With complex socio-technical systems, we can’t predict reactions to new functionality • Most failures of really large systems are due to wrong, changing, or contested requirements Project failure, c. 1500 BC Complexity, 1870 – Bank of England Complexity, 1876 – Dun, Barlow & Co Complexity, 1906 – Sears, Roebuck • Continental-scale mail order meant specialization • Big departments for single book-keeping functions • Beginnings of automation with dictation to recording cylinders and a typing pool to create outgoing letters Complexity, 1940 – First National Bank of Chicago 1960s – The ‘software crisis’ • In the 1960s, large powerful mainframes made even more complex systems possible • People started asking why project overruns and failures were so much more common than in mechanical engineering, shipbuilding, bridge building etc. • Software Engineering as a field dates back to two NATO Science Committee run conferences in 1968 and 1969 • The hope was that we could get things under control by using disciplines such as project planning, documentation and testing How is software different? • Many things that make writing software fun also make it complex and error-prone: • the joy