Benefits of Using Requirements Management Tools on a Digitized API 17O Document

Currently oil and gas companies are spending billions of dollars on digitalization efforts. One important aspect of a project that needs to be digitized are requirements. Most oil and gas companies receive project documentation and requirements as PDF files. Receiving PDF documents make it very difficult for companies to manipulate the content to identify which parts of the document are requirements and which parts are just background information. In addition, documents that contain requirements have poorly written requirements that are ambiguous, and can have many interpretations, making it difficult to show compliance. To solve the issues caused by poorly written requirements and receiving PDF files instead of receiving requirements in a more usable format, the solution is to rewrite the requirements and use a requirements management (RM) tool to put the requirements in a database. The American Petroleum Institute (API) 17O 2nd Edition document and a representative list of High Integrity Pressure Protection System (HIPPS) product requirements are used to show the benefits of using a requirements management tool. This paper will describe the prerequisites prior to selecting an RM tool, show how using a requirements quality analyzer tool can aid in preparing requirements to be imported into an RM tool, demonstrate the main benefits of using an RM tool in a project context, and discuss lessons learned from adding an RM tool to a document-based project.

Artificial Intelligence for Interface Management in Wireless Heterogeneous Networks

Wireless communication/networks are developing into very complex systems because of different requirements and applications of consumers. Today, mobile terminals are equipped with multi-channel and multiple access interfaces for different kinds of applications (or services). The combination of these access technologies needs an intelligent control to interface the best channel, interface/access or link for best services. In interface management, an arrangement is used to assign channels to interfaces in the multi-channel multi-interface environment. Artificial intelligence is one of the upcoming areas with different techniques which is used now a days to meet user's requirements. Quality of service (QoS) and quality of experience (QoE) are the performance parameters on which the success of any technique depends upon. Reliability of any system plays an important role in user satisfaction. This chapter shows some of the artificial techniques that can be used to make a reliable system.

Quality Assurance Techniques in SRS Documents

For development of software, the most important aspects are the software requirements. They are the foundation stone for initiating any software development process. Software requirements documents contain the needs of the customers in natural language. By using various methods like reviews, inspections, walkthroughs, the content of the software requirement can be checked manually to reduce ambiguity. In recent years there is an attempt to automate these activities as a result of advancement in automation of natural language analysis. Automation of text mining techniques and text analysis is leading to feasibility of automation of requirements documents processing. The process can be completed in minutes now which were taking weeks earlier. Automation of analysis of text has triggered numerous possibilities for quality assurance of requirements. The possibilities of automation are model checking automation, automated rule checking, automated test case execution and measurement automation. In future more tools will enter the scene for automation of requirements quality assurance. At present most of them are in experimental stage. There is a definite need for more research in this field.