Deepening Our Understanding of Communities of Practice in Large-Scale Agile Development

2014 ◽  
Author(s):  
Maria Paasivaara ◽  
Casper Lassenius
Author(s):  
Elizabeth Hartnell-Young ◽  
Keryn McGuinness ◽  
Peter Cuttance

This chapter considers the development and implementation of Australia’s National Quality Schooling Framework (NQSF: www.nqsf.edu.au), created particularly for teachers and others involved in improving school education. This large-scale, highly-structured and outcome-focused community space, funded by the Australian Government, was developed as a means of building and testing knowledge. Using Wenger’s infrastructure for communities of practice, the chapter evaluates the NQSF in light of its capacity for engagement, imagination and alignment. Although these three are often intertwined, we conclude that firstly, users value the space for engagement, and that this needs to be supported by a national telecommunications infrastructure. Secondly, in terms of imagination, a community of this scope and purpose benefits from management that shares the same purpose in order to develop the profession. Finally, alignment is achieved through visionary leadership and a rigorous process to maintain the quality of the resources introduced to and generated within the community.


2017 ◽  
Vol 22 (6) ◽  
pp. 2892-2936 ◽  
Author(s):  
Ville T. Heikkilä ◽  
Maria Paasivaara ◽  
Casper Lasssenius ◽  
Daniela Damian ◽  
Christian Engblom

Information ◽  
2019 ◽  
Vol 10 (10) ◽  
pp. 314
Author(s):  
Jimmy Molina Ríos ◽  
Nieves Pedreira-Souto

The current inclusion of agile methodologies in web-oriented projects has been considered on a large-scale by software developers. However, the benefits and limitations go beyond the comforts that project managers delimit when choosing them. Selecting a methodology involves more than only the associated processes or some documentation. Based on the above, we could define as the main concerns the approach with which we identify the methodology, the needs of the company, the size, and qualities of the project, and especially the characteristics of agile development that they possess. However, there are several difficulties in selecting the most appropriate methodology due to the features in common; Will it be suitable for my project? What challenges will be presented in the process? Will my team understand each stage? Will I be able to deliver software that satisfies the client? Project managers create these questions, which seem manageable but have huge effects. This paper presents a systematic literature review based on the analysis of the approaches of six web development methodologies. The aim of the study is to analyze the approaches presented by relevant methodologies, identifying their common agile characteristics and managing to contrast both its benefits and limitations during a project. As a result, we could itemize five common features, which are presented within the processes; (1) flexibility, (2) constant communication of the workgroup, (3) use of UML, (4) the inclusion of the end-user and (5) some documentation.


2021 ◽  
Vol 73 (02) ◽  
pp. 45-46
Author(s):  
Judy Feder

This article, written by JPT Technology Editor Judy Feder, contains highlights of paper SPE 203251, “Drilling in the Digital Age: Harnessing Intelligent Automation To Deliver Superior Well-Construction Performance in a Major Middle Eastern Gas Field,” by Brennan Goodkey, Gerardo Hernandez, and Andres Nunez, Schlumberger, et al., prepared for the 2020 Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, held virtually from 9-12 November. The paper has not been peer reviewed. While breakthroughs in digital technology have rewarded many industries with a step change in productivity and efficiency during the past decade, the drilling industry has yet to benefit on a large scale from these advances. The complete paper details the introduction of a drilling automation system (DAS) to deliver superior well-construction performance in a major gas field in the Middle East. The DAS was deployed on two onshore gas drilling rigs. The paper discusses the technology itself, the deployment process, implementation challenges, the agile development model, and the results achieved. Introduction In 2018, Schlumberger partnered with a major Middle Eastern national oil company on one of the world’s largest lump-sum, turnkey gas-well-delivery projects, where drilling operations had already been optimized by targeting high-impact, low-effort areas of opportunity. Drilling automation was pursued to achieve an improvement in performance, specifically to shift the technical limit and to minimize the frequency of service incidents that could cost days of nonproductive time (NPT). An in-house solution under development for some time was designed to take control of the rig’s surface equipment to automate and optimize most drilling tasks and to generate value in the following areas: Automation of drilling actions to perform exactly as planned, within the safe limits of operation, by eliminating the inconsistency of manual operation and its susceptibility to human factors Identification and mitigation of drilling dysfunctions that could lead to costly tool failures and incidents by using intelligence engines that would adapt drilling parameters continuously for best performance Technology Overview The DAS was developed as the execution component of a well-construction platform designed to link planning and execution. The planning component allowed for all well-design stakeholders to collaborate online and create the well plan simultaneously. Once prepared, the plan would be exported to the rig as a machine-interpretable digital drilling plan that the DAS could digest. With the validation of rig personnel, the DAS would then take control of a selection of drilling actions and execute exactly as instructed in the well plan. While drilling, extensive information would be collected to serve as a vehicle to drive performance when planning future wells. In the deployment summarized in the complete paper, a pilot version of the drilling automation module was deployed as a standalone product. The key objectives of design included three categories - dynamic planning, safety and resilience, and interoperability.


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