Revealing the Landscape of Privacy-Enhancing Technologies in the Context of Data Markets for the IoT: A Systematic Literature Review

IoT data markets in public and private institutions have become increasingly relevant in recent years because of their potential to improve data availability and unlock new business models. However, exchanging data in markets bears considerable challenges related to disclosing sensitive information. Despite considerable research focused on different aspects of privacy-enhancing data markets for the IoT, none of the solutions proposed so far seems to find a practical adoption. Thus, this study aims to organize the state-of-the-art solutions, analyze and scope the technologies that have been suggested in this context, and structure the remaining challenges to determine areas where future research is required. To accomplish this goal, we conducted a systematic literature review on privacy enhancement in data markets for the IoT, covering 50 publications dated up to July 2020, and provided updates with 24 publications dated up to May 2022. Our results indicate that most research in this area has emerged only recently, and no IoT data market architecture has established itself as canonical. Existing solutions frequently lack the required combination of anonymization and secure computation technologies. Furthermore, there is no consensus on the appropriate use of blockchain technology for IoT data markets and a low degree of leveraging existing libraries or reusing generic data market architectures. We also identified significant challenges remaining, such as the copy problem and the recursive enforcement problem that-while solutions have been suggested to some extent-are often not sufficiently addressed in proposed designs. We conclude that privacy-enhancing technologies need further improvements to positively impact data markets so that, ultimately, the value of data is preserved through data scarcity and users' privacy and businesses-critical information are protected.Comment: 49 pages, 17 figures, 11 table

Evolution of the Agile Scaling Frameworks

Publisher Copyright: © 2021, The Author(s).Over the past decade, agile methods have become the favored choice for projects undertaken in rapidly changing environments. The success of agile methods in small, co-located projects has inspired companies to apply them in larger projects. Agile scaling frameworks, such as Large Scale Scrum and Scaled Agile Framework, have been invented by practitioners to scale agile to large projects and organizations. Given the importance of agile scaling frameworks, research on those frameworks is still limited. This paper presents our findings from an empirical survey answered by the methodologists of 15 agile scaling frameworks. We explored (i) framework evolution, (ii) main reasons behind their creation, (iii) benefits, and (iv) challenges of adopting these frameworks. The most common reasons behind creating the frameworks were improving the organization’s agility and collaboration between agile teams. The most commonly claimed benefits included enabling frequent deliveries and enhancing employee satisfaction, motivation, and engagement. The most mentioned challenges were using frameworks as cooking recipes instead of focusing on changing people’s culture and mindset.Peer reviewe

Benefits and Challenges of Adopting SAFe - An Empirical Survey

Publisher Copyright: © 2021, The Author(s).During the last two decades, turbulent business environments tempted firms to adopt agile methods to cope with the ever-changing customer demands. The success of agile methods in small and co-located teams inspired companies to apply them to large-scale endeavors. Agile scaling frameworks, such as the Scaled Agile Framework (SAFe), have been proposed by practitioners to scale agile practices to large projects and enterprises. Companies are increasingly taking these frameworks into use. However, the number of quantitative empirical studies assessing the benefits and challenges of adopting the agile scaling frameworks is still limited. This paper starts filling in this gap by presenting the results from a survey of 100 industry participants around the world on their perception of the benefits and challenges of adopting the SAFe framework. Our results show that the SAFe adoption improves transparency, as well as collaboration and dependency management between agile teams. The most commonly mentioned challenges of the SAFe adoption are organizational politics, difficulties in establishing an agile mindset, change resistance, and team formation challenges.Peer reviewe

Why do organizations adopt agile scaling frameworks?-A Survey of practitioners

Publisher Copyright: © 2021 IEEE Computer Society. All rights reserved.Background: The benefits of agile methods in small, co-located projects have inspired their adoption in large firms and projects. Scaling frameworks, such as Large-Scale Scrum (LeSS) and the Scaled Agile Framework (SAFe), have been proposed by practitioners to scale agile to larger contexts, and become rather widely adopted in the industry. Despite the popularity of the frameworks, the knowledge on the reasons, expected benefits, and satisfaction of organizations adopting them is still limited. Aims: This paper presents a study of practitioners who have adopted an agile scaling framework in their organization and investigates the reasons for, expected benefits of, and the satisfaction level with the adoption of the selected framework. Method: We conducted a survey of software practitioners. We received data from 204 respondents representing ten frameworks adopted in 26 countries and located in six continents. Results: The results show that SAFe is the most widely adopted framework among our respondents. The two most commonly mentioned reasons for adopting agile scaling frameworks are to scale to more people and to remain competitive in the market. The most common expected benefits are improving the collaboration and dependency management between teams. We also found some unique reasons and expected benefits for the framework adoption, such as inculcating an agile mindset, addressing the needs of regulated environments, dissolving silos, and technical excellence. Our findings indicated statistically significant differences for reasons, expected benefits, and satisfaction between different frameworks. Most of our respondents report that the selected framework met their expectations. Conclusions: This paper offers the first quantitative assessment of reasons, expected benefits, and satisfaction of firms for adopting agile scaling frameworks. Future studies comparing scaling frameworks could help firms in selecting the most suitable framework fitting their needs.Peer reviewe

Large Rapidity Gap Method to Select Soft Diffraction Dissociation at the Lhc

In proton-proton (pp) collisions, any process involves exchanging the vacuum quantum numbers is known as diffractive process. A diffractive process with no large.. 2 is called soft diffractive process. The diffractive processes are important for understanding nonperturbative QCD effects and they also constitute a significant fraction of the total pp cross section. The diffractive events are typically characterized by a region of the detector without particles, known as a rapidity gap. In order to observe diffractive events in this way, we consider the pseudorapidity acceptance in the forward region of the ATLAS and CMS detectors at the Large Hadron Collider (LHC) and discuss the methods to select soft diffractive dissociation for pp collisions at root s = 7TeV. It is shown that, in the limited detector rapidity acceptance, it is possible to select diffractive dissociation events by requiring a rapidity gap in the event; however, without using forward detectors, it seems not possible to fully separate single and double diffractive dissociation events. The Zero Degree Calorimeters can be used to distinguish the type of the diffractive processes up to a certain extent.WoSScopu

9H-Carbazole-9-Carbo­thioic Di­thio­peroxy­anhydride

The whole mol­ecule of the title compound, C26H16N2S4, is generated by twofold rotational symmetry. The carbazole skeleton is nearly planar [maximum deviation = 0.054 (5) Å]. In the crystal, aromatic π–π stacking is observed between parallel carbazole ring systems of adjacent mol­ecules, the shortest centroid–centroid distances between pyrrole and benzene rings being 3.948 (3) and 3.751 (3) Å.PubMedScopu

A Machine Learning Based Approach to Application Landscape Documentation

Part 2: Model DerivationInternational audienceIn the era of digitalization, IT landscapes keep growing along with complexity and dependencies. This amplifies the need to determine the current elements of an IT landscape for the management and planning of IT landscapes as well as for failure analysis. The field of enterprise architecture documentation sought for more than a decade for solutions to minimize the manual effort to build enterprise architecture models or automation. We summarize the approaches presented in the last decade in a literature survey. Moreover, we present a novel, machine-learning based approach to detect and to identify applications in an IT landscape

A framework for managing enterprise architecture debts : Outline and research directions

Even though enterprise architecture management (EAM) offers a wide range of methods and tools for aligning business with IT, an architect’s work is challenged by reality. The evolution of enterprise architecture (EA) and given constraints (e.g. legacy systems and processes) lead to debts which may complicate and hinder opportunities; however, the management of such debts has not been considered in EAM research. This paper presents a framework for strategically managing EA-debt-related issues and propose open questions as well as future research directions in this field