In the financial systems of the modern era, trust has always been a missing entity; concentrations of power and trust have given birth to numerous breakdowns. To resolve the problems at this end, the paper attempts for a solution using Blockchains, a data structure that allows for the creation of cryptically secured distributed tamperproof ledgers. The paper discusses the data structure and further disserts on the case study in consideration.

A bug tracking system or defect tracking system is a software application that keeps track of reported software bugs in software development projects. A penetration test, colloquially known as a pen test, is an authorized simulated attack on a computer system that looks for security weaknesses. The use of the above two paradigms is very famous in the software development industry. Many researches have managed to expose some problems like manual testing, report generation, etc which the developers might face if these are not used properly. There is a plethora of software’s that offer different kinds of solutions to the problems but somehow they lack one thing or the other. The objective here is to address these problems where the solution is using the bug tracking systems and penetration testing in an architectural manner. This would be done by using an already existing solution and then improvising upon it.

The need of minimizing the latency perceived by the user in fetching web objects without necessarily increasing the bandwidth has attracted several researchers in the recent years. Although web prefetching and caching is seen as a solution, proposed techniques do not consider the frequency of server idle time in their models. This paper therefore proposes a short time web prefetching framework based on clustering technique that can be effective in high traffic with low bandwidth environment where the server idle time is too minimal to fetch all users anticipated requests. Clusters from different user requests are used to perform an inter domain clustering that prioritizes the prefetching of web pages based on speed at which requests are received from each domain and the popularity of each page. Experimental results show an improvement in hit rate and precision over the classical clustering based prefetching technique when the server idle time is not enough to prefetch all clusters.

Grid computing consists of achieving an effectual clustering of the valuable resources having dissimilar locations which will deal with real time scenarios. The grid follows the dispersed procedures having heavy workloads which can be in the form of the traffic files from different locations. Grid computing is related to the extraordinary performance systems like computer clustering or we can say nodes in the grid in such a manner that each set of the node performs different tasks and applications. Grid computers also deals with networks with topology variations and diverse geography which is not essentially to connect substantially to the cluster of computers. As the number of traffic increases day by day, is the challenging task to complete all the allocated processes in the limited time intervals. So this research deals with the efficient scheduling and optimization approach for the resource management using Ant colony optimization and round robin scheduling to obtain low execution intervals with less error rate probabilities. The whole simulation is done in MATLAB environment.

Requirement elicitation through crowdsourcing is trending nowadays and due to its major benefits, some of the organizations are implementing this idea. Our research paper discusses the traditional requirement engineering concepts and then compares them with crowd-based requirement engineering to show the benefits of crowdsourcing. Features of Crowd-Based Requirements Engineering are highlighted to give an idea of the basis on which the survey was conducted. Furthermore, we have discussed the online survey and gamification methods to motivate the crowd.