Agile Processes in Software Engineering and Extreme Programming – Workshops

This open access book constitutes papers from the 5 research workshops, the poster presentations, as well as two panel discussions which were presented at XP 2021, the 22nd International Conference on Agile Software Development, which was held online during June 14-18, 2021. XP is the premier agile software development conference combining research and practice. It is a unique forum where agile researchers, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. XP conferences provide an informal environment to learn and trigger discussions and welcome both people new to agile and seasoned agile practitioners. The 18 papers included in this volume were carefully reviewed and selected from overall 37 submissions. They stem from the following workshops: 3rd International Workshop on Agile Transformation 9th International Workshop on Large-Scale Agile Development 1st International Workshop on Agile Sustainability 4th International Workshop on Software-Intensive Business 2nd International Workshop on Agility with Microservices Programmin

Integrating big data into a sustainable mobility policy 2.0 planning support system

It is estimated that each of us, on a daily basis, produces a bit more than 1 GB of digital content through our mobile phone and social networks activities, bank card payments, location-based positioning information, online activities, etc. However, the implementation of these large data amounts in city assets planning systems still remains a rather abstract idea for several reasons, including the fact that practical examples are still very strongly services-oriented, and are a largely unexplored and interdisciplinary field; hence, missing the cross-cutting dimension. In this paper, we describe the Policy 2.0 concept and integrate user generated content into Policy 2.0 platform for sustainable mobility planning. By means of a real-life example, we demonstrate the applicability of such a big data integration approach to smart cities planning process. Observed benefits range from improved timeliness of the data and reduced duration of the planning cycle to more informed and agile decision making, on both the citizens and the city planners end. The integration of big data into the planning process, at this stage, does not have uniform impact across all levels of decision making and planning process, therefore it should be performed gradually and with full awareness of existing limitations

A strategy for the customer brand engagement (CBE) – a data product by Axians futureproofing a digital product - How to develop and manage digital products

The present project proposes a strategy to be followed within product development and management of Axians’s future Customer Brand Engagement (CBE) data product, supported by a market and legal context. It suggests a three-step framework to be deployed in order to futureproof the product. Then, it recommends actions to enhance it by ensuring user engagement with an app that would add a new relevant data source to the model. Finally, it presents a state of the art of technology available to deliver and execute the remaining data sources the product will model and provide insights from

Business intelligence in performance management of agile programs

Abstract. This thesis was conducted for a case company with the primary objective of designing a business intelligence dashboard to be used in the management of agile programs. The aim is to increase the knowledge within the topic and to solve problems that the case company has with the lack of coherent and modern data-driven performance management practices. One of the paramount objectives of this thesis is to reduce the time consumed for manual performance reporting activities and therefore improve the productivity and efficiency within the program management processes and practices. Design science is used as the primary research method in this study. However, the existing literature is also reviewed to explore what has already been studied within the topic and to identify the best practices to be exploited in designing the dashboard. The current state analysis of the case company is conducted and requirements for the dashboard are identified via a survey and interviews. Based on empirical research, two business intelligence dashboards are designed to cover the identified use cases for the performance management of agile programs. This thesis contributes to program management and business intelligence research. Especially, agile program management is discussed at a rather practical level and a set of performance metrics to be used in it is proposed. The use of business intelligence is demonstrated through performance management methods. The results of this study can also be used for further research purposes. Therefore, this study makes clear scientific contributions in addition to the evident practical implications.Tiivistelmä. Tämän opinnäytetyön tavoitteena on suunnitella kohdeyritykselle business intelligence-raportointinäkymät hyödynnettäväksi ketterien ohjelmien johtamisessa. Työssä pyritään tarjoamaan ratkaisu kohdeyrityksen ongelmiin ja parantamaan johdonmukaisuutta nykypäiväisten datalähtöisten suorituskyvyn johtamiskäytäntöjen kautta. Yksi tämän opinnäytetyön keskeisimmistä tavoitteista on saada vähennettyä manuaalisiin raportointitoimenpiteisiin kuluvaa aikaa ja siten parantaa ohjelmajohtamisprosessien ja -käytäntöjen tehokkuutta ja tuottavuutta. Pääasiallisena tutkimusmenetelmänä työssä käytetään Design Science -menetelmää. Aikaisempia tutkimuksia käydään läpi osana kirjallisuuskatsausta, jotta saadaan kartoitettua, mitä aiheen ympärillä on jo aikaisemmin tutkittu. Aikaisempia tutkimustuloksia hyödynnetään myös hyvien käytäntöjen selvittämisessä raportointinäkymän suunnitteluprosessille. Kohdeyrityksen nykytilaa ja sen osoittamia vaatimuksia analysoidaan kyselyn ja haastattelujen kautta. Perustuen empiiriseen tutkimukseen kaksi raportointinäkymää päätettiin suunnitella kattamaan tunnistetut käyttökohteet suorituskyvyn johtamiselle ketterissä ohjelmissa. Tämä opinnäytetyö edistää aikaisempaa tutkimusta ohjelmajohtamisen ja business intelligencen alalla. Erityisesti tässä työssä käsitellään ketterää ohjelmajohtamista käytännön tasolla ja ehdotetaan suorituskyvyn mittareita siinä hyödynnettäväksi. Business intelligenceä havainnollistetaan erityisesti suorituskyvyn johtamismenetelmien kautta. Työn tuloksia voidaan myös hyödyntää jatkotutkimuksessa, joten työllä on myös selkeää tieteellistä kontribuutiota ilmeisten käytännön johtopäätösten lisäksi

When situativity meets objectivity in peer-production of knowledge:the case of the WikiRate platform

PurposeThe purpose of this paper is to further the debate on Knowledge Artefacts (KAs), by presenting the design of WikiRate, a Collective Awareness platform whose goal is to support a wider public contributing to the generation of knowledge on environmental, social and governance (ESG) performance of companies.Design/methodology/approachThe material presented in the paper comes from the first-hand experience of the authors as part of the WikiRate design team. This material is reflexively discussed using concepts from the field of science and technology studies.FindingsUsing the concept of the “funnel of interest”, the authors discuss how the design of a KA like WikiRate relies on the designers’ capacity to translate general statements into particular design solutions. The authors also show how this funnelling helps understanding the interplay between situativity and objectivity in a KA. The authors show how WikiRate is a peer-production platform based on situativity, which requires a robust level of objectivity for producing reliable knowledge about the ESG performance of companies.Originality/valueThis paper furthers the debate on KAs. It presents a relevant design example and offers in the discussion a set of design and community building recommendations to practitioners

Towards an artificial intelligence (AI)-driven government in the United Arab Emirates (UAE): a framework for transforming and augmenting leadership capabilities

The UAE Government has recently launched a strategy for Artificial Intelligence (AI) that transitions the government to a new phase of becoming an AI-driven government. This strategy aimed to adopt AI-based technologies to boost the overall performance of the government. AI- based technologies have the capability to perform a wide range of human cognitive functions such as voice recognition, image recognition, and prediction. However, to achieve the vision of becoming an AI-driven government, the UAE has to prepare effectively for the transformation by anticipating the various challenges that accompany the adoption of AI-based technologies. Previous research indicated that infusing AI-based technologies will stimulate major shifts in organizations such as reshaping the nature of work, changing how work was previously done, and, more importantly, redefining the measurements of effective leadership. Hence, to particularly address the major shifts triggered by the adoption of AI-based technologies in terms of organizational leadership, this research study explored aspects of effective leadership in the UAE’s future AI-driven government. For this purpose, the study employed an explanatory sequential mixed methods design that incorporated the collection of both quantitative and qualitative data. The key findings of this study contributed to the development of a framework for transforming and augmenting leadership capabilities that could be implemented in UAE’s AI- driven government. This study found that public entities within the UAE government will need to redefine their organizational leadership structure by essentially incorporating roles that foster a culture of innovation and establish a data-driven organization as a major cornerstone for a successful AI-transformation. Equally important, AI-based technologies will enable leaders to become more efficient and productive through the concept of augmented intelligence. The findings of this study also indicated that agile mindset, AI-technology proficiency, data intelligence, and qualities associated with transformational leadership theory are the 4 main competencies which define an effective leader in UAE’s AI-driven government. Finally, this study highly recommends the implementation of more innovative development methods as a key step to build and prepare the leaders needed for the UAE’s AI-driven government

MADNESS OF THE CROWD - HOW BIG DATA CREATES EMOTIONAL MARKETS AND WHAT CAN BE DONE TO CONTROL BEHAVIOURAL RISK

In the recent years the term Big Data has been vividly discussed in management, the IS community and in the IT departments. Du to its potential for corporate performance and competitive advantage it has gained large attention up into the C-level-management. Observations on the possible negative consequnces of living in a data-driven world have mostly been limited to the perspective of an individual. For instance, concerns about data privacy have been vividly discussed when the growing hunger of governmental or private institutions for ever more and more personalized data was made public. This article starts with a critical reflection on the phenomena of Big Data, focusing on the consequnces for organizations and decision making. Next a case from the field of risk management is investigated in more detail using behavioural economics. Upon a series of experiments this paper sheds light on the possibility to create emotional markets using Big Data analytics in an un-reflected way. As a key takeaway this article should raise the awareness of behavioural risk. The presented work suggests extending the organizational risk framework by addressing behavioural risk