Rethinking Productivity in Software Engineering

Get the most out of this foundational reference and improve the productivity of your software teams. This open access book collects the wisdom of the 2017 "Dagstuhl" seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity. The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You'll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering. Readers in many fields and industries will benefit from their collected work. Developers wanting to improve their personal productivity, will learn effective strategies for overcoming common issues that interfere with progress. Organizations thinking about building internal programs for measuring productivity of programmers and teams will learn best practices from industry and researchers in measuring productivity. And researchers can leverage the conceptual frameworks and rich body of literature in the book to effectively pursue new research directions. What You'll Learn Review the definitions and dimensions of software productivity See how time management is having the opposite of the intended effect Develop valuable dashboards Understand the impact of sensors on productivity Avoid software development waste Work with human-centered methods to measure productivity Look at the intersection of neuroscience and productivity Manage interruptions and context-switching Who Book Is For Industry developers and those responsible for seminar-style courses that include a segment on software developer productivity. Chapters are written for a generalist audience, without excessive use of technical terminology. ; Collects the wisdom of software engineering thought leaders in a form digestible for any developer Shares hard-won best practices and pitfalls to avoid An up to date look at current practices in software engineering productivit

Rethinking Productivity in Software Engineering

Get the most out of this foundational reference and improve the productivity of your software teams. This open access book collects the wisdom of the 2017 "Dagstuhl" seminar on productivity in software engineering, a meeting of community leaders, who came together with the goal of rethinking traditional definitions and measures of productivity. The results of their work, Rethinking Productivity in Software Engineering, includes chapters covering definitions and core concepts related to productivity, guidelines for measuring productivity in specific contexts, best practices and pitfalls, and theories and open questions on productivity. You'll benefit from the many short chapters, each offering a focused discussion on one aspect of productivity in software engineering. Readers in many fields and industries will benefit from their collected work. Developers wanting to improve their personal productivity, will learn effective strategies for overcoming common issues that interfere with progress. Organizations thinking about building internal programs for measuring productivity of programmers and teams will learn best practices from industry and researchers in measuring productivity. And researchers can leverage the conceptual frameworks and rich body of literature in the book to effectively pursue new research directions. What You'll Learn Review the definitions and dimensions of software productivity See how time management is having the opposite of the intended effect Develop valuable dashboards Understand the impact of sensors on productivity Avoid software development waste Work with human-centered methods to measure productivity Look at the intersection of neuroscience and productivity Manage interruptions and context-switching Who Book Is For Industry developers and those responsible for seminar-style courses that include a segment on software developer productivity. Chapters are written for a generalist audience, without excessive use of technical terminology. ; Collects the wisdom of software engineering thought leaders in a form digestible for any developer Shares hard-won best practices and pitfalls to avoid An up to date look at current practices in software engineering productivit

Interaction-aware development environments: recording, mining, and leveraging IDE interactions to analyze and support the development flow

Nowadays, software development is largely carried out using Integrated Development Environments, or IDEs. An IDE is a collection of tools and facilities to support the most diverse software engineering activities, such as writing code, debugging, and program understanding. The fact that they are integrated enables developers to find all the tools needed for the development in the same place. Each activity is composed of many basic events, such as clicking on a menu item in the IDE, opening a new user interface to browse the source code of a method, or adding a new statement in the body of a method. While working, developers generate thousands of these interactions, that we call fine-grained IDE interaction data. We believe this data is a valuable source of information that can be leveraged to enable better analyses and to offer novel support to developers. However, this data is largely neglected by modern IDEs. In this dissertation we propose the concept of "Interaction-Aware Development Environments": IDEs that collect, mine, and leverage the interactions of developers to support and simplify their workflow. We formulate our thesis as follows: Interaction-Aware Development Environments enable novel and in- depth analyses of the behavior of software developers and set the ground to provide developers with effective and actionable support for their activities inside the IDE. For example, by monitoring how developers navigate source code, the IDE could suggest the program entities that are potentially relevant for a particular task. Our research focuses on three main directions: 1. Modeling and Persisting Interaction Data. The first step to make IDEs aware of interaction data is to overcome its ephemeral nature. To do so we have to model this new source of data and to persist it, making it available for further use. 2. Interpreting Interaction Data. One of the biggest challenges of our research is making sense of the millions of interactions generated by developers. We propose several models to interpret this data, for example, by reconstructing high-level development activities from interaction histories or measure the navigation efficiency of developers. 3. Supporting Developers with Interaction Data. Novel IDEs can use the potential of interaction data to support software development. For example, they can identify the UI components that are potentially unnecessary for the future and suggest developers to close them, reducing the visual cluttering of the IDE

Flow barriers: What prevents software developers from experiencing flow in their work

Software development requires high problem-solving skills and creativity, making it a profession with good opportunities to become immersed in a flow experience. The characteristics of flow experience are absorption, enjoyment, and intrinsic motivation toward the activity. This study aims to better understand the barriers that prevent software developers from experiencing flow at work. Previous research has mostly examined software developers’ productivity, flow being one component of productive workdays. This study addresses the research gap by exploring the barriers to experiencing flow in software development. A qualitative questionnaire was used to gather data about flow experiences from 405 respondents. The most prominent flow barriers that emerged from these responses were interruptions, too easy, boring, or repetitive tasks, lack of opportunities, insufficient requirements, timetables and deadlines, and problems with technology or software. The results suggest that there are many more flow barriers in software development than what have been discussed in the context of productivity. These findings open up an interesting avenue for researching flow experiences in the software development context. The implication for practice is uncovering common flow barriers in software development, which can help both developers and managers identify these barriers, try to mitigate them, and facilitate more flow experiences at work.publishedVersionPeer reviewe

AI Now Institute 2023 Landscape: Confronting Tech Power

This report highlights a set of approaches that, in concert, will collectively enable us to confront tech power. Some of these are bold policy reforms that underscore the need for bright-line rules and structural curbs. Others identify popular policy responses that, because they fail to meaningfully address power discrepancies, should be abandoned. Several aren't in the traditional domain of policy at all, but acknowledge the importance of nonregulatory interventions such as collective action, worker organizing, and the role public policy can play in bolstering these efforts. We intend this report to provide strategic guidance to inform the work ahead of us, taking a bird's eye view of the many levers we can use to shape the future trajectory of AI – and the tech industry behind it – to ensure that it is the public, not industry, that this technology serves

Africa’s digital solutions to tackle COVID-19

African countries are using technology in many new ways to fight the coronavirus pandemic. This report highlights some of the best digital solutions and estimates the investments required to implement the technology on a wider scale. The European Investment Bank prepared this report with the support of the United Nations Development Programme and the consulting firm BearingPoint

Improved back-of-the-house processes with RFID enabled it model for hospitality industry in Singapore

This is a research paper exploring the ability of Radio Frequency Identification (RFID) technology to cope with challenges of back-of-the-house of the hospitality industry in Singapore. Focused on supply chain, food safety and security, the paper reviewed the three integrated service support processes of back-of-the-house that drove the service delivery processes of front-of-the-house in meeting the critical reliability dimension of SERVQUAL model. The RFID mobile technology’s advantages were studied in mitigating risks and meeting compliances within the three back-of-the-house areas. The RFID was further examined as a viable IT solution based on the potential impacts associated with cost-of-not-doing and the improved ROI over cost-of-doing. Constructed by using service blueprinting technique, the RFID enabled IT model was proposed for real-time tracking and interfacing with systems and processes. The advantages of the model were illustrated to improve efficiency and enhance capability of back-of-the-house processes. Explaining the limitations of the model, the paper also recommended the five-step approach of RFID implementation and future research on lifecycle tracking benefits