Towards an Anatomy of Software Craftsmanship

Context: The concept of software craftsmanship has early roots in computing, and in 2009, the Manifesto for Software Craftsmanship was formulated as a reaction to how the Agile methods were practiced and taught. But software craftsmanship has seldom been studied from a software engineering perspective. Objective: The objective of this article is to systematize an anatomy of software craftsmanship through literature studies and a longitudinal case study. Method: We performed a snowballing literature review based on an initial set of nine papers, resulting in 18 papers and 11 books. We also performed a case study following seven years of software development of a product for the financial market, eliciting qualitative, and quantitative results. We used thematic coding to synthesize the results into categories. Results: The resulting anatomy is centered around four themes, containing 17 principles and 47 hierarchical practices connected to the principles. We present the identified practices based on the experiences gathered from the case study, triangulating with the literature results. Conclusion: We provide our systematically derived anatomy of software craftsmanship with the goal of inspiring more research into the principles and practices of software craftsmanship and how these relate to other principles within software engineering in general.

Advancing Smart Manufacturing in Europe: Experiences from Two Decades of Research and Innovation Projects

In the past two decades, a large amount of attention has been devoted to the introduction of smart manufacturing concepts and technologies into industrial practice. In Europe, these efforts have been supported by European research and innovation programs, bringing together research and application parties. In this paper, we provide an overview of a series of four content-wise connected projects on the European scale that are aimed at advancing smart manufacturing, with a focus on connecting processes on smart factory shop floors to manufacturing equipment on the one hand and enterprise-level business processes on the other hand. These projects cover several tens of application cases across Europe. We present our experiences in the form of a single, informal longitudinal case study, highlighting both the major advances and the current limitations of developments. To organize these experiences, we place them in the context of the well-known RAMI4.0 reference framework for Industry 4.0 (covering the ISA-95 standard). Then, we analyze the experiences, both the positive ones and those including problems, and draw our learnings from these. In doing so, we do not present novel technological developments in this paper—these are presented in the papers we refer to—but concentrate on the main issues we have observed to guide future developments in research efforts and industrial innovation in the smart industry domain.

Group processes and interoperability: A longitudinal case study analysis of the UK’s civil contingency response to Covid-19

Our case study explored a Local Resilience Forum’s (LRF) civil contingency response to COVID-19 in the UK. We undertook 19 semi-structured ethnographic longitudinal interviews, between 25th March 2020 and 17th February 2021, with a Director of a Civil Contingencies Unit and a Chief Fire Officer who both played key roles within their LRF. Within these interviews, we focused on their strategic level decision-making and how their relationship with national government impacted on local processes and outcomes. Using a form of grounded theory, our data describes the chronological evolution of an increasingly effective localised approach toward outbreak control and a growing resilience in dealing with concurrent emergency incidents. However, we also highlight how national government organisations imposed central control on aspects of the response in ways that undermined or misaligned with local preparedness. Thus, during emergencies central governments can undermine the principle of subsidiarity and damage the ways in which LRFs can help scaffold local resilience. Our work contributes to the theoretical understanding of the social psychological factors that can shape the behaviour of responder agencies during a prolonged crisis. In particular, the implications of our analysis for advancing our conceptual understanding of strategic decision-making during emergencies are discussed.

Collaborative capabilities of cause-based social entrepreneurship alliance of firms

PurposeThis study examines the collaborative value practices of cause-based social entrepreneurship alliances. We investigate key drivers of value creation in such alliances.Design/methodology/approachThe study utilizes a longitudinal case study design approach involving four northern Italian businesses for investigating the cause-based social alliances.FindingsThe study findings suggest that cause-based alliance differ from other business relationships due to social mission of the alliance and orientation of partners to a specific social cause. However, over time involved firm may pursue commercial interests.Research limitations/implicationsThe study utilizes a qualitative case study approach to examine the issues. This may have implications on generalizability of study findings. Further, the sample is limited to small firms, which limit its relevance for large firms.Practical implicationsManagers can utilize the study findings to guide the organizing process of a successful cause-based alliance and can implement it with positive outcomes for their firm.Originality/valueThis is one of the first study on the emerging phenomenon of cause-based social alliance. It contributes to the literature on social entrepreneurship. It informs and guides practitioners about motivations and drivers of such alliances.

Breaking the Paradigm of Sensing, Seizing, and Transforming - Evidence from Axel Springer

Dynamic capabilities have typically been conceptualized as sensing, seizing, and transforming. This article explores the interplay of these procedural dimensions employing a longitudinal case study of Axel Springer, a leading media corporation that has exercised dynamic capabilities to convert from a print publisher to an internet company. Insightful evidence is produced from interviews with current and former top managers. The case study shows iterations, overlaps, and interconnections between sensing, seizing, and transforming. Sensing-by-seizing is introduced as a dynamic capability to seize concrete opportunities while concurrently sensing them. A conceptual model furnishes implications and recommendations for managerial decision-making.

Sensor-Based Prediction of Mental Effort during Learning from Physiological Data: A Longitudinal Case Study

Trackers for activity and physical fitness have become ubiquitous. Although recent work has demonstrated significant relationships between mental effort and physiological data such as skin temperature, heart rate, and electrodermal activity, we have yet to demonstrate their efficacy for the forecasting of mental effort such that a useful mental effort tracker can be developed. Given prior difficulty in extracting relationships between mental effort and physiological responses that are repeatable across individuals, we make the case that fusing self-report measures with physiological data within an internet or smartphone application may provide an effective method for training a useful mental effort tracking system. In this case study, we utilized over 90 h of data from a single participant over the course of a college semester. By fusing the participant’s self-reported mental effort in different activities over the course of the semester with concurrent physiological data collected with the Empatica E4 wearable sensor, we explored questions around how much data were needed to train such a device, and which types of machine-learning algorithms worked best. We concluded that although baseline models such as logistic regression and Markov models provided useful explanatory information on how the student’s physiology changed with mental effort, deep-learning algorithms were able to generate accurate predictions using the first 28 h of data for training. A system that combines long short-term memory and convolutional neural networks is recommended in order to generate smooth predictions while also being able to capture transitions in mental effort when they occur in the individual using the device.

Resourcefulness Skills Use by Grandmothers Raising Grandchildren: A Longitudinal Case Study Approach

In the U.S., over 2.7 million grandparents are primary caregivers to grandchildren. It is critical to understand the experiences of grandparent caregivers to design tailored, supportive programs. Our aim was to analyze 4 weeks of daily online journals of 129 grandmothers with respect to their use of a set of Resourcefulness Skills© following web-based skills training. Using a thematic analysis approach, coding was completed by a three person team using NVIVO 12. Percent agreement among coders was over 90% (Kappa = .956). Twelve cases were randomly selected for case study development. Comparative case study analysis was used to look within and across cases for instances where skills were used and how skill use changed over time. The pattern of skill use showed that grandmother caregivers used resourcefulness skills to deal with the grandchild’s behavior and developmental issues as well as within the entire family system to manage conflicted relationships with the grandchild’s parents, balance relationships with their spouse/partner, and maintain relationships with other relatives. Case studies will be presented to show skill use over the four weeks of journaling in the context of the family system, as well as the strategies used by participants who improved skill use over time and those who faced barriers to skill use. Findings highlight the use of journals as a means to assess enactment fidelity of treatment interventions and the importance of the family network in skills training program implementation and ways to help grandmothers make use of skills training in the family setting.

Understanding the influence of technological capability and exogenous pressure on business model dynamics: insights from a longitudinal case study

PurposeThe purpose of the study is to explore how technological capability and exogenous pressure interactively influence business model (BM) dynamics over time in new technology-based ventures.Design/methodology/approachThe study adopts a longitudinal case study of the BM innovations of a Chinese financial technology venture. The structural approach and temporal bracket are used to analyze and theorize the data.FindingsThe findings indicate that distinct contextual changes impel a firm to refine or abandon existing BMs over time. In different stages, the antecedents interactively influence BM dynamics with three successive patterns, namely pressure dominance, parallel influence and hybrid influence. While both antecedents trigger changes during the initiation and implementation of new BMs, they also serve as the filter and the enabler, respectively, during the ideation and integration of BMs.Research limitations/implicationsThe study inductively develops three propositions regarding the relationship between BM dynamics and its antecedents, which is based on the data collected from one single firm. Future research should test the propositions in other domains and take more cross-level antecedents into consideration.Originality/valueThe study contributes to the nascent research stream of BM dynamics by offering in-depth insights into the interaction of internal and external antecedents and by linking the differentiated roles of antecedents to the BM innovation process. The research offers some practical implications for new technology-based ventures seeking to develop BMs in a fast-changing environment.