Test Driven Development in Action: Case Study of a Cross-Platform Web Application

2021 ◽  
Author(s):  
Nuno Pombo ◽  
Caio Martins
Keyword(s):  
Web Application ◽  
Test Driven Development ◽  
Cross Platform ◽  
Action Case

scholarly journals ISMA: Intelligent Sensing Model for Anomalies Detection in Cross Platform OSNs With a Case Study on IoT

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 3284-3301 ◽  
Author(s):  
Vishal Sharma ◽  
Ilsun You ◽  
Ravinder Kumar
Keyword(s):  
Sensing Model ◽  
Cross Platform

An open-source R-package and web application for high-quality probabilistic predictions in hydrology

2021 ◽  
Author(s):  
Jason Hunter ◽  
Mark Thyer ◽  
Dmitri Kavetski ◽  
David McInerney
Keyword(s):  
Open Source ◽  
Web Application ◽  
R Package ◽  
Error Model ◽  
Objective Functions ◽  
High Quality ◽  
Wide Range ◽  
Probabilistic Error

<p>Probabilistic predictions provide crucial information regarding the uncertainty of hydrological predictions, which are a key input for risk-based decision-making. However, they are often excluded from hydrological modelling applications because suitable probabilistic error models can be both challenging to construct and interpret, and the quality of results are often reliant on the objective function used to calibrate the hydrological model.</p><p>We present an open-source R-package and an online web application that achieves the following two aims. Firstly, these resources are easy-to-use and accessible, so that users need not have specialised knowledge in probabilistic modelling to apply them. Secondly, the probabilistic error model that we describe provides high-quality probabilistic predictions for a wide range of commonly-used hydrological objective functions, which it is only able to do by including a new innovation that resolves a long-standing issue relating to model assumptions that previously prevented this broad application.  </p><p>We demonstrate our methods by comparing our new probabilistic error model with an existing reference error model in an empirical case study that uses 54 perennial Australian catchments, the hydrological model GR4J, 8 common objective functions and 4 performance metrics (reliability, precision, volumetric bias and errors in the flow duration curve). The existing reference error model introduces additional flow dependencies into the residual error structure when it is used with most of the study objective functions, which in turn leads to poor-quality probabilistic predictions. In contrast, the new probabilistic error model achieves high-quality probabilistic predictions for all objective functions used in this case study.</p><p>The new probabilistic error model and the open-source software and web application aims to facilitate the adoption of probabilistic predictions in the hydrological modelling community, and to improve the quality of predictions and decisions that are made using those predictions. In particular, our methods can be used to achieve high-quality probabilistic predictions from hydrological models that are calibrated with a wide range of common objective functions.</p>

scholarly journals Cellular Automata as an Example for Advanced Beginners’ Level Coding Exercises in a MOOC on Test Driven Development

2017 ◽  
Vol 7 (2) ◽  
pp. 125 ◽  
Author(s):  
Thomas Staubitz ◽  
Ralf Teusner ◽  
Christoph Meinel ◽  
Nishanth Prakash
Keyword(s):  
Cellular Automata ◽  
Crucial Role ◽  
Computer Programming ◽  
Good Practice ◽  
Experiential Knowledge ◽  
Suitable Candidate ◽  
Test Driven Development ◽  
Automated Evaluation ◽  
Programming Skills

Programming tasks are an important part of teaching computer programming as they foster students to develop essential programming skills and techniques through practice.  The design of educational problems plays a crucial role in the extent to which the experiential knowledge is imparted to the learner both in terms of quality and quantity. Badly designed tasks have been known to put-off students from practicing programming. Hence, there is a need for carefully designed problems. Cellular Automata programming lends itself as a very suitable candidate among problems designed for programming practice. In this paper, we describe how various types of problems can be designed using concepts from Cellular Automata and discuss the features which make them good practice problems with regard to instructional pedagogy. We also present a case study on a Cellular Automata programming exercise used in a MOOC on Test Driven Development using JUnit, and discuss the automated evaluation of code submissions and the feedback about the reception of this exercise by participants in this course. Finally, we suggest two ideas to facilitate an easier approach of creating such programming exercises.

scholarly journals On distributed concern delivery in user interface design

2015 ◽  
Vol 12 (2) ◽  
pp. 655-681 ◽  
Author(s):  
Tomas Cerny ◽  
Miroslav Macik ◽  
Michael Donahoo ◽  
Jan Janousek
Keyword(s):  
User Interface ◽  
Interface Design ◽  
Web Application ◽  
Significant Information ◽  
Server Side ◽  
Ui Design ◽  
Potential Benefits ◽  
And Performance ◽  
Client Side

Increasing demands on user interface (UI) usability, adaptability, and dynamic behavior drives ever-growing development and maintenance complexity. Traditional UI design techniques result in complex descriptions for data presentations with significant information restatement. In addition, multiple concerns in UI development leads to descriptions that exhibit concern tangling, which results in high fragment replication. Concern-separating approaches address these issues; however, they fail to maintain the separation of concerns for execution tasks like rendering or UI delivery to clients. During the rendering process at the server side, the separation collapses into entangled concerns that are provided to clients. Such client-side entanglement may seem inconsequential since the clients are simply displaying what is sent to them; however, such entanglement compromises client performance as it results in problems such as replication, fragment granularity ill-suited for effective caching, etc. This paper considers advantages brought by concern-separation from both perspectives. It proposes extension to the aspect-oriented UI design with distributed concern delivery (DCD) for client-server applications. Such an extension lessens the serverside involvement in UI assembly and reduces the fragment replication in provided UI descriptions. The server provides clients with individual UI concerns, and they become partially responsible for the UI assembly. This change increases client-side concern reuse and extends caching opportunities, reducing the volume of transmitted information between client and server to improve UI responsiveness and performance. The underlying aspect-oriented UI design automates the server-side derivation of concerns related to data presentations adapted to runtime context, security, conditions, etc. Evaluation of the approach is considered in a case study applying DCD to an existing, production web application. Our results demonstrate decreased volumes of UI descriptions assembled by the server-side and extended client-side caching abilities, reducing required data/fragment transmission, which improves UI responsiveness. Furthermore, we evaluate the potential benefits of DCD integration implications in selected UI frameworks.

AN EMPIRICAL STUDY OF SOFTWARE METRICS FOR ASSESSING THE PHASES OF AN AGILE PROJECT

2012 ◽  
Vol 22 (04) ◽  
pp. 525-548 ◽  
Author(s):  
GIULIO CONCAS ◽  
MICHELE MARCHESI ◽  
GIUSEPPE DESTEFANIS ◽  
ROBERTO TONELLI
Keyword(s):  
Software Quality ◽  
Web Application ◽  
Software Metrics ◽  
Pair Programming ◽  
Application Development ◽  
Agile Practices ◽  
Code Metrics ◽  
Agile Process ◽  
Adoption Level

We present an analysis of the evolution of a Web application project developed with object-oriented technology and an agile process. During the development we systematically performed measurements on the source code, using software metrics that have been proved to be correlated with software quality, such as the Chidamber and Kemerer suite and Lines of Code metrics. We also computed metrics derived from the class dependency graph, including metrics derived from Social Network Analysis. The application development evolved through phases, characterized by a different level of adoption of some key agile practices — namely pair programming, test-based development and refactoring. The evolution of the metrics of the system, and their behavior related to the agile practices adoption level, is presented and discussed. We show that, in the reported case study, a few metrics are enough to characterize with high significance the various phases of the project. Consequently, software quality, as measured using these metrics, seems directly related to agile practices adoption.

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