Characteristics Of Digital System Research Articles

Movable text

During the early adoption of e-books, this unfamiliar digital format was made more palatable through analogy to the printed book. Texts were divided into ‘pages’ that could turn on screen, and e-book repositories were referred to as ‘libraries’. However, as digital texts have increasingly taken on characteristics of digital systems, the metaphor of the printed book has lost currency. Given the limitations of this conventional metaphor for the digital text, I propose an alternative conception, one that is as archaic in origin as the printed-book metaphor, yet surprisingly robust for describing the customizable texts of today’s Academy: the metaphor of movable text. The image derives from German printer Johannes Gutenberg’s 15th-century innovation for the mass production of books, a mechanical system that used paper, ink and the relatively cheap and reusable display of cubed, metal letters that could be arranged and rearranged into words on a tray ready to be pressed into print. This metaphor of book-as-movable text is useful in that it captures how the form of the academic textbook is now entangled with its process, as much as its context. But, how does this metaphor apply to the academic text in particular? If a movable academic book asks to be interpreted, does the mobility of meaning that it creates defy such interpretative engagement? In this article, I argue that when automated texts are effectively scaffolded by cultural critiques, they can support deep research processes. To become more effective, these searches demand focus as much as evaluation and thus drive towards the crafts of collation, synthesis and eventual reconfiguration.

Input-Domain Software Testing for Failure Probability Estimation of Safety-Critical Applications in Consideration of Past Input Sequence

Software failure probability quantification is an important aspect of digital system reliability assessment. Several quantification methods currently available in the software reliability field have characteristics unsuitable for application to safety-critical software. In this paper, a software test framework in consideration of input trajectory is developed, and a software failure probability quantification method is also suggested. The test input cases consist of the states and present inputs, where input trajectory is represented by the state. To obtain the input domain, which represents realistic plant behavior, digital system characteristics and plant dynamics are considered. This allows software failure probability to be estimated by using the result of each representative test case, thus reducing testing efforts. The proposed framework was applied to a nuclear power plant reactor protection system as an example to show its effectiveness. The method provides a practical and relatively simple way to test software and estimate software failure probability.