Software aging prediction – a new approach

Abstract

To meet the users’ requirements which are very diverse in recent days, computing infrastructure has become complex. An example of one such infrastructure is a cloud-based system. These systems suffer from resource exhaustion in the long run which leads to performance degradation. This phenomenon is called software aging. There is a need to predict software aging to carry out pre-emptive rejuvenation that enhances service availability. Software rejuvenation is the technique that refreshes the system and brings it back to a healthy state. Hence, software aging should be predicted in advance to trigger the rejuvenation process to improve service availability. In this work, the <em>k</em>-nearest neighbor (<em>k</em>-NN) algorithm-based new approach has been used to identify the virtual machine's status, and a prediction of resource exhaustion time has been made. The proposed prediction model uses static thresholding and adaptive thresholding methods. The performance of the algorithms is compared, and it is found that for classification, the <em>k</em>-NN performs comparatively better, i.e., <em>k</em>-NN showed an accuracy of 97.6. In contrast, its counterparts performed with an accuracy of 96.0 (naïve Bayes) and 92.8 (decision tree). The comparison of the proposed work with previous similar works has also been discussed.

Holistic personas to increase the novice developer productivity

“…Software products play a crucial role in enhancing productivity within software development. This association stems from the imperative for software to effectively address the needs of end users, resulting in profound implications not only for the economy [1] but also across various dimensions encompassing technical and social considerations [2], [3], emotional influences (such as affecting moods and feelings) [4], work-life dynamics [5], [6], culture [7], and collaborative teamwork [8], [9]. Notably, software quality has exhibited a progressive upswing over time, primarily attributable to the implementation of enhanced requirements management practices [10] and the active engagement of users throughout the development process.…”