Technical Debt Prioritization: State of the Art. A Systematic Literature Review

Background. Software companies need to manage and refactor Technical Debt issues. Therefore, it is necessary to understand if and when refactoring Technical Debt should be prioritized with respect to developing features or fixing bugs. Objective. The goal of this study is to investigate the existing body of knowledge in software engineering to understand what Technical Debt prioritization approaches have been proposed in research and industry. Method. We conducted a Systematic Literature Review among 384 unique papers published until 2018, following a consolidated methodology applied in Software Engineering. We included 38 primary studies. Results. Different approaches have been proposed for Technical Debt prioritization, all having different goals and optimizing on different criteria. The proposed measures capture only a small part of the plethora of factors used to prioritize Technical Debt qualitatively in practice. We report an impact map of such factors. However, there is a lack of empirical and validated set of tools. Conclusion. We observed that technical Debt prioritization research is preliminary and there is no consensus on what are the important factors and how to measure them. Consequently, we cannot consider current research conclusive and in this paper, we outline different directions for necessary future investigations

The Value of Information Technology-Enabled Diabetes Management

Reviews different technologies used in diabetes disease management, as well as the costs, benefits, and quality implications of technology-enabled diabetes management programs in the United States

A Domino Effect: Interdependencies among Different Types of Technical Debt

The paper examines the accrual of technical debt, which represents an increasingly pressing concern for many organizations. To advance understanding of how this debt-accumulation process unfolds, an in-depth case study was conducted with a large manufacturing firm for identifying particular types of technical debt and potential interdependencies among them. The findings point to architecture debt being "the root of all evil" at the case company, setting in motion dynamics that led to the development of other types of technical debt. Scholarship should benefit from this nuanced articulation and illustration of interdependencies across the various types of technical debt

Cognitive barriers during monitoring-based commissioning of buildings

Monitoring-based commissioning (MBCx) is a continuous building energy management process used to optimize energy performance in buildings. Although monitoring-based commissioning (MBCx) can reduce energy waste by up to 20%, many buildings still underperform due to issues such as unnoticed system faults and inefficient operational procedures. While there are technical barriers that impede the MBCx process, such as data quality, the focuses of this paper are the non-technical, behavioral and organizational, barriers that contribute to issues initiating and implementing MBCx. In particular, this paper discusses cognitive biases, which can lead to suboptimal outcomes in energy efficiency decisions, resulting in missed opportunities for energy savings. This paper provides evidence of cognitive biases in decisions during the MBCx process using qualitative data from over 40 public and private sector organizations. The results describe barriers resulting from cognitive biases, listed in descending order of occurrence, including: risk aversion, social norms, choice overload, status quo bias, information overload, professional bias, and temporal discounting. Building practitioners can use these results to better understand potential cognitive biases, in turn allowing them to establish best practices and make more informed decisions. Researchers can use these results to empirically test specific decision interventions and facilitate more energy efficient decisions

Digital innovation: A review and synthesis

Organizations are under increasing pressure to apply digital technologies to renew and transform their business models. A great deal of research has examined specific phenomena, such as adoption antecedents and design methods. However, it is unclear what we know in totality, including what research streams exist, how they fit together, and fruitful opportunities for new knowledge development. We combine scientometric and systematic literature review methodologies to examine 7 dimensions of an adapted theoretical framework: initiation; development; implementation; exploitation; the role of the external competitive environment; role of internal organizational environment; and product, service, and process outcomes. From a macro perspective, we find vastly uneven coverage of research streams, diversity and diffusiveness of research, and knowledge and learning as an underlying conceptual pillar. Combined with our summary of each of the 7 research streams, these findings suggest several areas of future research, which we develop by identifying oppositions and tensions.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146990/1/isj12193.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146990/2/isj12193_am.pd

Robustness - a challenge also for the 21st century: A review of robustness phenomena in technical, biological and social systems as well as robust approaches in engineering, computer science, operations research and decision aiding

Notions on robustness exist in many facets. They come from different disciplines and reflect different worldviews. Consequently, they contradict each other very often, which makes the term less applicable in a general context. Robustness approaches are often limited to specific problems for which they have been developed. This means, notions and definitions might reveal to be wrong if put into another domain of validity, i.e. context. A definition might be correct in a specific context but need not hold in another. Therefore, in order to be able to speak of robustness we need to specify the domain of validity, i.e. system, property and uncertainty of interest. As proofed by Ho et al. in an optimization context with finite and discrete domains, without prior knowledge about the problem there exists no solution what so ever which is more robust than any other. Similar to the results of the No Free Lunch Theorems of Optimization (NLFTs) we have to exploit the problem structure in order to make a solution more robust. This optimization problem is directly linked to a robustness/fragility tradeoff which has been observed in many contexts, e.g. 'robust, yet fragile' property of HOT (Highly Optimized Tolerance) systems. Another issue is that robustness is tightly bounded to other phenomena like complexity for which themselves exist no clear definition or theoretical framework. Consequently, this review rather tries to find common aspects within many different approaches and phenomena than to build a general theorem for robustness, which anyhow might not exist because complex phenomena often need to be described from a pluralistic view to address as many aspects of a phenomenon as possible. First, many different robustness problems have been reviewed from many different disciplines. Second, different common aspects will be discussed, in particular the relationship of functional and structural properties. This paper argues that robustness phenomena are also a challenge for the 21st century. It is a useful quality of a model or system in terms of the 'maintenance of some desired system characteristics despite fluctuations in the behaviour of its component parts or its environment' (s. [Carlson and Doyle, 2002], p. 2). We define robustness phenomena as solution with balanced tradeoffs and robust design principles and robustness measures as means to balance tradeoffs. --

Service Undone: A Grounded Theory of Strategically Constructed Silos and Their Impact on Customer-Company Interactions from the Perspective of Retail Employees

This work elaborates the impacts of strategically constructed silos that are not byproducts of flagging cross-departmental cooperation or the cumulative effect of decades of decentralized command and control. Rather, these silos are strategically intended structures within organizations. Most significantly, the substantive theory of strategically constructed silos and their impact on customer service contributes to the field by illustrating the presence and consequence of silos occurring in suboptimal conditions. The existence of silos has implications that extend far beyond the retail area. A key take-away from this research is that contrary to how most customer service processes are designed, not all customer-company interactions are alike. As shown in the data, interaction types vary both in regard to the degree of knowledge needed by retail employees to fully serve customers, and the routine or nonroutine nature of the interaction. This is an important finding since it directly relates to whether the existence of a silo is appropriate (or optimal) for a specific interaction or task. Additionally, the findings suggest the role that a task\u27s routine-ness plays is secondary to the degree of specialized knowledge needed by retail employees to meet customer expectations. Understanding the various customer-company interaction types and how each interaction type may be affected by silos is crucial for designing customer experiences that will sustain over time. Likewise, identifying customer-company interaction types correctly and then subsequently developing strategies to support these interaction types is critical for both customer experience management (CEM) initiatives and customer relationship management (CRM) system design within the company. This work provides an overview of the implications of strategically constructed silos occurring in suboptimal conditions and provides recommendations for diagnosing customer-company interactions based on interaction type. By identifying strategically constructed silos as an intended structure of the company, the model elaborated here works to deliver prescriptive and specific strategies for managers and employees\u27 use as they attempt to improve their firm\u27s customer-company interaction outcomes

Learning Lessons: Urban Water Supply Sector

Complementing a November 2009 guidance note that outlined risks to development effectiveness in the urban water supply sector, this brief provides relevant lessons from evaluations of Asian Development Bank programs over the last ten years. The findings warn against the sector's vulnerability to diverse institutional, organizational, operations, and project-level risks

Linking Research and Policy: Assessing a Framework for Organic Agricultural Support in Ireland

This paper links social science research and agricultural policy through an analysis of support for organic agriculture and food. Globally, sales of organic food have experienced 20% annual increases for the past two decades, and represent the fastest growing segment of the grocery market. Although consumer interest has increased, farmers are not keeping up with demand. This is partly due to a lack of political support provided to farmers in their transition from conventional to organic production. Support policies vary by country and in some nations, such as the US, vary by state/province. There have been few attempts to document the types of support currently in place. This research draws on an existing Framework tool to investigate regionally specific and relevant policy support available to organic farmers in Ireland. This exploratory study develops a case study of Ireland within the framework of ten key categories of organic agricultural support: leadership, policy, research, technical support, financial support, marketing and promotion, education and information, consumer issues, inter-agency activities, and future developments. Data from the Irish Department of Agriculture, Fisheries and Food, the Irish Agriculture and Food Development Authority (Teagasc), and other governmental and semi-governmental agencies provide the basis for an assessment of support in each category. Assessments are based on the number of activities, availability of information to farmers, and attention from governmental personnel for each of the ten categories. This policy framework is a valuable tool for farmers, researchers, state agencies, and citizen groups seeking to document existing types of organic agricultural support and discover policy areas which deserve more attention

Design in the Age of Information: A Report to the National Science Foundation (NSF)

The Information Age is upon us - it has become a global force in our everyday lives. But the promise of significant benefits from this revolution, which has been driven largely by technologists, will not be realized without more careful planning and design of information systems that can be integral to the simultaneously emerging user-cultures. In cultural terms, information systems must be effective, reliable, affordable, intuitively meaningful, and available anytime and everywhere. In this phase of the information revolution, design will be essential