scholarly journals Towards ubiquitous requirements engineering through recommendations based on context histories

2022 ◽  
Vol 8 ◽  
pp. e794
Author(s):  
Robson Lima ◽  
Alexsandro S. Filippetto ◽  
Wesllei Heckler ◽  
Jorge L.V. Barbosa ◽  
Valderi R.Q. Leithardt
Keyword(s):  
Requirements Engineering ◽  
Requirements Management ◽  
Software Projects ◽  
Scientific Contribution ◽  
Exponential Increase ◽  
Bank Institution ◽  
Business Changes ◽  
Intelligent Tools ◽  
Stakeholder Acceptance

The growing technological advance is causing constant business changes. The continual uncertainties in project management make requirements engineering essential to ensure the success of projects. The usual exponential increase of stakeholders throughout the project suggests the application of intelligent tools to assist requirements engineers. Therefore, this article proposes Nhatos, a computational model for ubiquitous requirements management that analyses context histories of projects to recommend reusable requirements. The scientific contribution of this study is the use of the similarity analysis of projects through their context histories to generate the requirement recommendations. The implementation of a prototype allowed to evaluate the proposal through a case study based on real scenarios from the industry. One hundred fifty-three software projects from a large bank institution generated context histories used in the recommendations. The experiment demonstrated that the model achieved more than 70% stakeholder acceptance of the recommendations.

scholarly journals A Personalized Machine-Learning-Enabled Method for Efficient Research in Ethnopharmacology. The Case of the Southern Balkans and the Coastal Zone of Asia Minor

2021 ◽  
Vol 11 (13) ◽  
pp. 5826
Author(s):  
Evangelos Axiotis ◽  
Andreas Kontogiannis ◽  
Eleftherios Kalpoutzakis ◽  
George Giannakopoulos
Keyword(s):  
Machine Learning ◽  
Coastal Zone ◽  
Extraction Process ◽  
Asia Minor ◽  
Efficiency And Effectiveness ◽  
Effectiveness And Efficiency ◽  
Intelligent Tools ◽  
Southern Balkans

Ethnopharmacology experts face several challenges when identifying and retrieving documents and resources related to their scientific focus. The volume of sources that need to be monitored, the variety of formats utilized, and the different quality of language use across sources present some of what we call “big data” challenges in the analysis of this data. This study aims to understand if and how experts can be supported effectively through intelligent tools in the task of ethnopharmacological literature research. To this end, we utilize a real case study of ethnopharmacology research aimed at the southern Balkans and the coastal zone of Asia Minor. Thus, we propose a methodology for more efficient research in ethnopharmacology. Our work follows an “expert–apprentice” paradigm in an automatic URL extraction process, through crawling, where the apprentice is a machine learning (ML) algorithm, utilizing a combination of active learning (AL) and reinforcement learning (RL), and the expert is the human researcher. ML-powered research improved the effectiveness and efficiency of the domain expert by 3.1 and 5.14 times, respectively, fetching a total number of 420 relevant ethnopharmacological documents in only 7 h versus an estimated 36 h of human-expert effort. Therefore, utilizing artificial intelligence (AI) tools to support the researcher can boost the efficiency and effectiveness of the identification and retrieval of appropriate documents.

scholarly journals Development of scenario management and requirements tool (SMaRT): towards supporting scenario-based requirements engineering methodology

2018 ◽  
Vol 7 (2.14) ◽  
pp. 62
Author(s):  
Azlin Nordin ◽  
Amirul Ikhwan Omar ◽  
Megat Usamah Megat Mohamed Amin ◽  
Norsaremah Salleh
Keyword(s):  
Requirements Engineering ◽  
Real World ◽  
Management Process ◽  
Requirements Management ◽  
Software Environment ◽  
Document Generation

Scenario-based methodology has been applied in analyzing real world experience into representation in software environment. Nonetheless, capturing, documenting and managing scenarios are extremely labor-intensive. Hence, the generic aims of this project are to investigate, explore and analyze requirements management process towards supporting scenario-based requirements approach. Based on our analysis of the existing RE or Requirements Management (RM) tools, most of the tools had less focus or missing some significant RE features to facilitate scenario-based   methodology. We analyzed all the relevant features and developed a prototype i.e.  Scenario-based Requirements Tool (SMaRT) to demonstrate how scenario-based approach can be implemented to further supports scenario-based RE  methodology and  covers most of the RE process  i.e. elicitation,  analysis  and  negotiation, documentation, validation,   and  management. SMaRT improves the RE tool features i.e. project and requirements management, document generation and validation function to further supports scenario-based RE methodology and covers most of the RE process i.e. elicitation, analysis, negotiation, documentation, validation, and management.   

Case study on risk management practice in large offshore‐outsourced Agile software projects

IET Software ◽  
2014 ◽  
Vol 8 (6) ◽  
pp. 245-257 ◽  
Author(s):  
Srikrishnan Sundararajan ◽  
Marath Bhasi ◽  
Pramod K. Vijayaraghavan
Keyword(s):  
Risk Management ◽  
Management Practice ◽  
Software Projects ◽  
Agile Software

scholarly journals How long can we build it? Ensuring usability of a scientific code base

2021 ◽  
Vol 16 (1) ◽  
pp. 11
Author(s):  
Klaus Rechert ◽  
Jurek Oberhauser ◽  
Rafael Gieschke
Keyword(s):  
Data Management ◽  
Source Code ◽  
Research Data ◽  
Scientific Contribution ◽  
Scientific Publications ◽  
Research Data Management ◽  
Code Base

Software and in particular source code became an important component of scientific publications and henceforth is now subject of research data management.  Maintaining source code such that it remains a usable and a valuable scientific contribution is and remains a huge task. Not all code contributions can be actively maintained forever. Eventually, there will be a significant backlog of legacy source-code. In this article we analyse the requirements for applying the concept of long-term reusability to source code. We use simple case study to identify gaps and provide a technical infrastructure based on emulator to support automated builds of historic software in form of source code.  

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