Developing educational iPhone, Android and Windows smartphone cross-platform apps to facilitate understanding of clinical genomics terminology

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Teaching Software Development to Non-Software Engineering Students

This paper argues that although the object-oriented programming (OOP) paradigm is appropriate for students taking programming modules on Higher Education (HE) software engineering course, this paradigm is not as relevant for students from other courses who study programming modules. It is also asserts that adopting another paradigm when teaching programming to non-software engineering students need not prevent the encouragement of good software engineering practices The paper discusses the software development model, procedures, techniques and programming language that the author requires non-software engineering students to employ when developing their software. This discussion also includes consideration of implementation issues in an educational context. The paper concludes that his alternative approach has been successfully implemented, that it requires the student to adopt a rigorous approach to development and that it encourages best software engineering practices. The conclusions also note that delivering this alternative offers the opportunity to include good educational practice, such as role-play

ChimpCheck: Property-Based Randomized Test Generation for Interactive Apps

We consider the problem of generating relevant execution traces to test rich interactive applications. Rich interactive applications, such as apps on mobile platforms, are complex stateful and often distributed systems where sufficiently exercising the app with user-interaction (UI) event sequences to expose defects is both hard and time-consuming. In particular, there is a fundamental tension between brute-force random UI exercising tools, which are fully-automated but offer low relevance, and UI test scripts, which are manual but offer high relevance. In this paper, we consider a middle way---enabling a seamless fusion of scripted and randomized UI testing. This fusion is prototyped in a testing tool called ChimpCheck for programming, generating, and executing property-based randomized test cases for Android apps. Our approach realizes this fusion by offering a high-level, embedded domain-specific language for defining custom generators of simulated user-interaction event sequences. What follows is a combinator library built on industrial strength frameworks for property-based testing (ScalaCheck) and Android testing (Android JUnit and Espresso) to implement property-based randomized testing for Android development. Driven by real, reported issues in open source Android apps, we show, through case studies, how ChimpCheck enables expressing effective testing patterns in a compact manner.Comment: 20 pages, 21 figures, Symposium on New ideas, New Paradigms, and Reflections on Programming and Software (Onward!2017

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