scholarly journals An Intelligent Analytics Approach to Minimize Complexity in Ambiguous Software Requirements

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Fariha Ashfaq ◽  
Imran Sarwar Bajwa ◽  
Rafaqut Kazmi ◽  
Akmal Khan ◽  
Muhammad Ilyas
Keyword(s):  
Natural Language ◽  
Query Language ◽  
Software Requirements ◽  
Software Project ◽  
Shared Meaning ◽  
New Approach ◽  
Efficient Performance ◽  
Software Engineers ◽  
Description Framework ◽  
Software Requirement Specification

An inconsistent and ambiguous Software Requirement Specification (SRS) document results in an erroneous/failed software project. Hence, it is a serious challenge to handle and process complex and ambiguous requirements. Most of the literature work focuses on detection and resolution of ambiguity in software requirements. Also, there is no standardized way to write unambiguous and consistent requirements. The goal of this research was to generate an ambiguity-less SRS document. This paper presents a new approach to write ambiguity-less requirements. Furthermore, we design a framework for Natural Language (NL) to Controlled Natural Language (CNL) (such as Semantic Business Vocabulary and Rules (SBVR)) transition and develop a prototype. The prototype also generates Resource Description Framework (RDF) representation. The SBVR has a shared meaning concept that minimizes ambiguity, and RDF representation is supported by query language such as SPARQL Protocol and RDF Query Language (SPARQL). The proposed approach can help software engineers to translate NL requirements into a format that is understandable by all stakeholders and also is machine processable. The results of our prototype are encouraging, exhibiting the efficient performance of our developed prototype in terms of usability and correctness.

A Framework for the Generation of Class Diagram from Text Requirements using Natural language Processing

2021 ◽  
Vol 10 (1) ◽  
pp. 25-31
Keyword(s):  
Natural Language Processing ◽  
Software Development ◽  
Natural Language ◽  
Language Processing ◽  
English Language ◽  
Software Requirements ◽  
Class Diagram ◽  
Requirement Analysis ◽  
Part Of Speech ◽  
Software Engineers

The software development procedure begins with identifying the requirement analysis. The process levels of the requirements start from analysing the requirements to sketch the design of the program, which is very critical work for programmers and software engineers. Moreover, many errors will happen during the requirement analysis cycle transferring to other stages, which leads to the high cost of the process more than the initial specified process. The reason behind this is because of the specifications of software requirements created in the natural language. To minimize these errors, we can transfer the software requirements to the computerized form by the UML diagram. To overcome this, a device has been designed, which plans can provide semi-automatized aid for designers to provide UML class version from software program specifications using natural Language Processing techniques. The proposed technique outlines the class diagram in a well-known configuration and additionally facts out the relationship between instructions. In this research, we propose to enhance the procedure of producing the UML diagrams by utilizing the Natural Language, which will help the software development to analyze the software requirements with fewer errors and efficient way. The proposed approach will use the parser analyze and Part of Speech (POS) tagger to analyze the user requirements entered by the user in the English language. Then, extract the verbs and phrases, etc. in the user text. The obtained results showed that the proposed method got better results in comparison with other methods published in the literature. The proposed method gave a better analysis of the given requirements and better diagrams presentation, which can help the software engineers. Key words: Part of Speech,UM

scholarly journals Algorithm for Automatic Detection of Ambiguities from Software Requirements

2019 ◽  
Vol 8 (9S) ◽  
pp. 878-882
Keyword(s):  
Natural Language ◽  
Automatic Detection ◽  
Software Requirements ◽  
Software Systems ◽  
Requirement Specification ◽  
Software Requirement ◽  
Requirement Document ◽  
Different Types ◽  
Specification Document ◽  
Software Requirement Specification

Software Systems are built by the Software engineers and must ensure that software requirement document (SRS) should be specific. Natural Language is the main representation of Software requirement specification document, because it is the most flexible and easiest way for clients or customers to express their software requirements [2]. However being stated in natural language, software requirement specification document may lead to ambiguities [28]. The main goal of presented work to automatically detection of the different types of ambiguities like Lexical, Syntactic, Syntax and Pragmatic. Then an algorithm is proposed to early detection the different types of ambiguities from software requirement document. Part of Speech (POS) technique and regular expression is used to detect each type of ambiguities. An algorithm presented in this paper have two main goals (1) Automatic detection of different types of ambiguities. (2) Count the total number of each types of ambiguities found and evaluate the percentage of ambiguous and non- ambiguous statements detected from software requirement document. The suggested algorithm can absolutely support the analyst in identifying different kinds of ambiguities in Software requirements specification (SRS) document.

scholarly journals Natural Language Description of Videos for Smart Surveillance

2021 ◽  
Vol 11 (9) ◽  
pp. 3730
Author(s):  
Aniqa Dilawari ◽  
Muhammad Usman Ghani Khan ◽  
Yasser D. Al-Otaibi ◽  
Zahoor-ur Rehman ◽  
Atta-ur Rahman ◽  
...  
Keyword(s):  
Natural Language ◽  
Feature Recognition ◽  
Scene Recognition ◽  
Video Data ◽  
Surveillance Video ◽  
Video Footage ◽  
Parallel Pipeline ◽  
September 11 Attacks ◽  
Description Framework ◽  
High Level

After the September 11 attacks, security and surveillance measures have changed across the globe. Now, surveillance cameras are installed almost everywhere to monitor video footage. Though quite handy, these cameras produce videos in a massive size and volume. The major challenge faced by security agencies is the effort of analyzing the surveillance video data collected and generated daily. Problems related to these videos are twofold: (1) understanding the contents of video streams, and (2) conversion of the video contents to condensed formats, such as textual interpretations and summaries, to save storage space. In this paper, we have proposed a video description framework on a surveillance dataset. This framework is based on the multitask learning of high-level features (HLFs) using a convolutional neural network (CNN) and natural language generation (NLG) through bidirectional recurrent networks. For each specific task, a parallel pipeline is derived from the base visual geometry group (VGG)-16 model. Tasks include scene recognition, action recognition, object recognition and human face specific feature recognition. Experimental results on the TRECViD, UET Video Surveillance (UETVS) and AGRIINTRUSION datasets depict that the model outperforms state-of-the-art methods by a METEOR (Metric for Evaluation of Translation with Explicit ORdering) score of 33.9%, 34.3%, and 31.2%, respectively. Our results show that our framework has distinct advantages over traditional rule-based models for the recognition and generation of natural language descriptions.

scholarly journals Software Requirements Negotiation: A Review on Challenges

2021 ◽  
Vol 11 (1) ◽  
pp. 1-6
Author(s):  
Shamsu Abdullahi ◽  
Musa Ahmed Zayyad ◽  
Naziru Yusuf ◽  
Lawal Idris Bagiwa ◽  
Amina Nura ◽  
...  
Keyword(s):  
Decision Making ◽  
Conflict Resolution ◽  
Selection Process ◽  
Software Requirements ◽  
Software Project ◽  
Communication Performance ◽  
Study Selection ◽  
Final Study ◽  
Requirement Changes ◽  
Requirements Negotiation

Requirements negotiation involves discussion on the requirements conflict to have some compromise that will satisfy the participating stakeholders of a software project. The output of a requirement negotiation is a set of satisfied requirements of two or more parties. In this paper, we present a systematic review of requirements negotiation challenges. The study adopted 34 papers from the final study selection process which were analyzed based on the requirements negotiation challenges they addressed. The identified challenges are decision-making, communication, performance, managing requirement changes, and conflict resolution. The output of the study indicates that decision-making is addressed by 33% of the studies reviewed, followed by the performance with 22%, conflict resolution  with 19%, while 16% focus on stakeholders’ communication, and managing requirements changes has 10%.

scholarly journals SISTEM CUSTOMER SERVICE PT KERETA API INDONESIA (PERSERO) BERBASIS CHATBOT MENGGUNAKAN KOMPUTASI BAHASA

2021 ◽  
Vol 5 (1) ◽  
pp. 37-41
Author(s):  
Nia Shafira ◽  
◽  
Etin Martiana ◽  
Rengga Asmara
Keyword(s):  
Human Resources ◽  
Natural Language ◽  
Customer Service ◽  
Customer Loyalty ◽  
Service Provider ◽  
Language Modeling ◽  
Service Performance ◽  
Service Workers ◽  
New Approach ◽  
Automatic Information

As the main train service provider company in Indonesia, PT Kereta Api Indonesia (PT KAI) has many customers who need information. In order to maintain customer loyalty, PT KAI must respond quickly and be adaptive to technology to provide the best service to customers. Limited human resources make PT KAI unable to serve customers simultaneously, so customers often have to wait for a response. In order to provide the best service, automatic messages are needed in order to help customer service performance respond quickly and at the same time with no cost, access anytime and anywhere. This study proposes a new approach with chatbots as a medium for conveying automatic information quickly and simultaneously. This chatbot is made with a computational language that focuses on natural language modeling and cosine similarity as a method for calculating the proximity of inputs and databases. This research can help PT KAI's customer service workers to answer customer needs automatically.

scholarly journals A New Approach to Creation of an Artificial Intellect and Method of its Implementation

2021 ◽  
Vol 12 (1) ◽  
pp. 87-110
Author(s):  
Wladimir Stalski
Keyword(s):  
Natural Language ◽  
Work Experience ◽  
Humanoid Robot ◽  
Life Experience ◽  
Private Life ◽  
Personal Life ◽  
Human Model ◽  
Self Awareness ◽  
New Approach ◽  
Population Education

Abstract On the basis of the author’s earlier works, the article proposes a new approach to creating an artificial intellect system in a model of a human being that is presented as the unification of an intellectual agent and a humanoid robot (ARb). In accordance with the proposed new approach, the development of an artificial intellect is achieved by teaching a natural language to an ARb, and by its utilization for communication with ARbs and humans, as well as for reflections. A method is proposed for the implementation of the approach. Within the framework of that method, a human model is “brought up” like a child, in a collective of automatons and children, whereupon an ARb must master a natural language and reflection, and possess self-awareness. Agent robots (ARbs) propagate and their population evolves; that is ARbs develop cognitively from generation to generation. ARbs must perform the tasks they were given, such as computing, whereupon they are then assigned time for “private life” for improving their education as well as for searching for partners for propagation. After having received an education, every agent robot may be viewed as a “person” who is capable of activities that contain elements of creativity. The development of ARbs thanks to the evolution of their population, education, and personal “life” experience, including “work” experience, which is mastered in a collective of humans and automatons.

scholarly journals Software Requirement Specification Sistem Informasi Manajemen Rumah Makan Berdasarkan ISO/IEC/IEEE 29148-2018

2020 ◽  
Vol 9 (2) ◽  
pp. 215
Author(s):  
Dwi Januarita AK
Keyword(s):  
Information System ◽  
Rapid Development ◽  
Software Requirements ◽  
Business World ◽  
Requirements Specifications ◽  
Standard Information ◽  
Software Requirements Specification ◽  
Specification Document ◽  
Software Requirement Specification ◽  
Reference Document

The rapid development of technology makes this technology have an impact on many fields, one of which is the business world. The number of businesses that have emerged both small and large businesses that have an impact on competition between these businesses. Today, business in the culinary field is getting tougher. The culinary business sector of restaurants is increasingly popping up in this age. We need to overcome the competition in the emerging restaurant business. By using the stages of making software requirements specifications based on ISO / IEC / IEEE 29148-2018, this restaurant business will have an international standard information system. The result of this method is a software requirements specification document (SKPL) as a reference document for all activities carried out during the development of this information system.

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