Browser-based Analysis of Web Framework Applications

Although web applications evolved to mature solutions providing sophisticated user experience, they also became complex for the same reason. Complexity primarily affects the server-side generation of dynamic pages as they are aggregated from multiple sources and as there are lots of possible processing paths depending on parameters. Browser-based tests are an adequate instrument to detect errors within generated web pages considering the server-side process and path complexity a black box. However, these tests do not detect the cause of an error which has to be located manually instead. This paper proposes to generate metadata on the paths and parts involved during server-side processing to facilitate backtracking origins of detected errors at development time. While there are several possible points of interest to observe for backtracking, this paper focuses user interface components of web frameworks.Comment: In Proceedings TAV-WEB 2010, arXiv:1009.330

Using a Triple Graph Grammar for State Machine Implementations

Typical techniques of model-driven development use graph transformations to manipulate models and use generators to produce source code. In this contribution we suggest to use graph transformations instead of generators in order to get a closer connection between model and code. We define a Triple Graph Grammar for the mapping from a modeling tool data format to source code and derive a sample set of transformation rules from this. Thereby both truly simultaneous manipulation of model and code is enabled as well as virtually simultaneous manipulation by direct propagation of changes from code to model and back again

Automation of Java Code Analysis for Programming Exercises

In this paper we present a tool environment for semi-automatic verification of basic programming exercises. We describe how graph transformation can be used for analysis of code structures and present an example from a current course

Towards Sustainable Research Data Management in Human-Computer Interaction

We discuss important aspects of HCI research regarding Research Data Management (RDM) to achieve better publication processes and higher reuse of HCI research results. Various context elements of RDM for HCI are discussed, including examples of existing and emerging infrastructures for RDM. We briefly discuss existing approaches and come up with additional aspects which need to be addressed. This is to apply the so-called FAIR principle fully, which -- besides being findable and accessible -- also includes interoperability and reusability. We also discuss briefly the kind of research data types that play a role here and propose to build on existing work and involve the HCI scientific community to improve current practices

Serum cytokines MCP-1 and GCS-F as potential biomarkers in pediatric inflammatory bowel disease

Background Inflammatory bowel diseases (IBDs) with the subtypes ulcerative colitis (UC) and Crohn disease (CD), are chronic autoimmune inflammatory disorders of the gastrointestinal tract. Cytokines are associated with the development and progression in pediatric IBD. We measured cytokine levels in pediatric IBD patients to assess their potential function as biomarkers in disease assessment. Method In this prospective cohort study, we enrolled 33 children with IBD. All patients were in stable remission for 3 months on enrollment. Patients who developed a relapse within six months after enrollment were classified as relapsers. Blood sampling was performed at enrolment and for relapsers in relapse and post-relapse. Serum concentrations of 14 cytokines, chemokines and growth factors (IL-1α, IL-1β, IL-6, IL-12p40, IP-10, TNF-α, IFN-γ, IL-10, IL-8, MIP-1α, MCP-1, MCP-3, G-CSF, GM-CSF) were measured simultaneously using multiplex bead-based sandwich immunoassay on Luminex 100 system. Results MCP-1 was significantly higher in CD patients compared to UC patients at each disease stage: stable remission (P<0.048), unstable remission (P<0.013), relapse (P<0.026) and post-relapse (P<0.024). G-CSF was significantly increased in UC patients developing a relapse and in post-relapse stage compared to UC patients in remission (P<0.02 and p<0.03, respectively). Conclusion MCP-1 showed potential as a diagnostic biomarker in CD patients independent of disease activity as it was able to discriminate between subtypes of pediatric IBD. In UC patients, G-CSF was significantly elevated in relapsers indicating its use and role as a potential prognostic biomarker

The impact of Human Choice and Computers and Technical Committee 9 on ICTs and society : a critical sociotechnical tale

In this chapter we briefly recount the history of the Human Choice and Computers conference series, and of Technical Committee 9, and show that not only has there been a marked focus, over more than four decades, on a critical and sociotechnical approach to understanding the relationship be-tween ICTs and society, but that HCC and TC9 might be regarded as the original and continuing home of the critical academic voice in ICT. We show this through a textual analysis of the proceedings of the conferences, and through biographical detail concerning the key players involved

Effects of Early Warning Emails on Student Performance

We use learning data of an e-assessment platform for an introductory mathematical statistics course to predict the probability of passing the final exam for each student. Subsequently, we send warning emails to students with a low predicted probability to pass the exam. We detect a positive but imprecisely estimated effect of this treatment, suggesting the effectiveness of such interventions only when administered more intensively.Comment: arXiv admin note: text overlap with arXiv:1906.0986