Software Engineering Education Knowledge Versus Industrial Needs

Liargkovas, Georgios; Papadopoulou, Aggeliki; Kotti, Zoe; Spinellis, Diomidis

doi:10.1109/te.2021.3123889

Cited by 4 publications

(3 citation statements)

References 30 publications

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“…Studies have identified deficiencies in the coverage of computer fundamentals, people skills, software processes, and HCI in software engineering education. Addressing these gaps is essential for aligning educational curricula with the evolving needs of the software industry [23].…”

Section: Education and Industrial Needs In Software Developmentmentioning

confidence: 99%

Decentralized Innovation: Exploring the Impact of Blockchain Technology in Software Development

Bodemer

2023

Preprint

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The integration of blockchain technology into software development marks a paradigm shift, offering a new realm of possibilities alongside unique challenges. This paper delves into the multifaceted impact of blockchain on software development, exploring its potential to revolutionize the industry. Blockchain technology, at its core, is a decentralized ledger that records transactions across multiple computers in a way that ensures security, transparency, and immutability. The foundational principles of blockchain, including decentralization, consensus mechanisms, and cryptographic security, present a novel approach to addressing some of the longstanding challenges in software development. One of the most significant contributions of blockchain to software development is the enhancement of security and trust. Traditional centralized systems are often vulnerable to single points of failure, whereas blockchain’s decentralized nature inherently mitigates this risk. The immutable ledger ensures that once data is recorded, it cannot be altered without consensus, thereby fostering trust among users and developers. The concept of smart contracts, self-executing contracts with the terms of the agreement directly written into code, has opened new avenues in software development. These programmable contracts automate processes, reduce the need for intermediaries, and ensure the execution of agreements as intended. This automation is particularly beneficial in areas like supply chain management, where blockchain can provide transparency and traceability in software projects. Blockchain also introduces a paradigm shift in project management and collaboration. The transparent nature of blockchain can lead to more efficient project management, as all stakeholders have access to a single, unalterable version of project data. This transparency aids in collaborative coding and version control, ensuring that changes are tracked and authenticated. Moreover, blockchain can play a crucial role in protecting intellectual property and managing software licenses, providing a secure and transparent way to handle these aspects. The integration of blockchain with agile methodology presents a compelling synergy. Agile practices, which emphasize flexibility and iterative development, can benefit from blockchain’s ability to provide secure, transparent, and immutable records of project progress. This integration can enhance continuous integration and deployment processes, and provide a robust framework for agile project tracking. However, the adoption of blockchain in software development is not without challenges. Scalability issues, energy consumption, and the complexity of blockchain technology can pose significant barriers. Additionally, navigating the regulatory landscape and addressing ethical considerations, such as data privacy, are critical challenges that need to be addressed. Despite these challenges, the future of blockchain in software development is promising. Emerging trends indicate a growing convergence of blockchain with other technologies like artificial intelligence (AI) and DevOps. The role of blockchain in facilitating machine-to-machine transactions and enhancing AI-driven applications is an area of active research. Similarly, the integration of blockchain into DevOps practices can lead to more secure and efficient development pipelines. In conclusion, blockchain technology holds the potential to transform software development in profound ways. From enhancing security and trust to revolutionizing project management and collaboration, the implications are vast. While challenges remain, the ongoing advancements in blockchain technology and its integration with other fields suggest a future where blockchain plays a pivotal role in shaping the landscape of software development.

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Section: Education and Industrial Needs In Software Developmentmentioning

confidence: 99%

Decentralized Innovation: Exploring the Impact of Blockchain Technology in Software Development

Bodemer

2023

Preprint

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“…Literature [19] provided an industrial internship instruction model for undergraduate industrial engineering education in public universities, combining qualitative and quantitative methods, and verified that the internship model developed students' engineering skills and abilities. Literature [20] sought the needs of developers during the development of the computer industry based on the content of Wikipedia and covered the effect of the coverage of industrial education through the calculation of knowledge units. Literature [21] provided an effective method of industry-education integration for vocational education related to the semiconductor industry and constructed an intelligent simulation training system for actual production.…”

Section: Introductionmentioning

confidence: 99%

Vocational Education and Industry Integration and Symbiosis of Subjects and Digital Drivers

Guo

2023

Applied Mathematics and Nonlinear Sciences

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Under the new round of scientific and technological revolution and industrial change, the integration of vocational education and industry is an important direction of educational development. In this paper, the structure of the learning path network of higher vocational professional courses is analyzed, and through the analysis of the elements of learning behaviors, the learning behaviors are mined by adopting sequence relations, and the behavioral structure model is established. The assessment of the learning path under the integration of industry and education courses was finished using uncertainty association coefficients and time association coefficients. After building the learning path network for vocational education, the subjective characteristics of students under vocational education were detected using isolated point analysis. The detection results show that the correlation coefficient between the first pair of typical variables is 0.488. The Wilks statistical test results for typical correlation coefficients show that the p-value of the first typical correlation coefficient is 0.098, which is less than 10%. The correlation study of the environment of integration of education and industry and the effect of integration can be simplified to study only the relationship between the first pair of typical variables. By analyzing the main characteristics, the main body for vocational education and industry integration is clarified, which creates a digital-driven impetus for the integration of industry and education.

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“…One of the main causes of software bugs is from the specification [1] [2]. As software specification gathered from the user's needs is mostly written in common natural languages in the Software Requirements Specification (SRS) document [3][4] [5], this leads unstructured requirements to be ambiguous and misunderstood by software developers [4][6] [7]. Furthermore, in system and user acceptance testing, test cases are generated from the SRS.…”

Section: Introductionmentioning

confidence: 99%

An Approach of Test Case Generation with Software Requirement Ontology

Intana,

Tantayakul,

Laosen

et al. 2023

IJACSA

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Software testing plays an essential role in software development process since it helps to ensure that the developed software product is free from errors and meets the defined specifications before the delivery. As the software specification is mostly written in the form of natural language, this may lead to the ambiguity and misunderstanding by software developers and results in the incorrect test cases to be generated from this unclear specification. Therefore, to solve this problem, this paper presents a novel hybrid approach, Software Requirement Ontologies based Test Case Generation (ReqOntoTestGen) to enhance the reliability of existing software testing techniques. This approach enables a framework that combines ontology engineering with the software test case generation approaches. Controlled Natural Language (CNL) provided by the ROO (Rabbit to OWL Ontologies Authoring) tools is used by the framework to build the software requirement ontology from unstructured functional requirements. This eliminates the inconsistency and ambiguity of requirements before test case generation. The OWL ontology resulted from ontology engineering is then transformed into the XML file of data dictionary. Combination of Equivalence and Classification Tree Method (CCTM) is used to generate test cases from this XML file with the decision tree. This allows us to reduce redundancy of test cases and increase testing coverage. The proposed approach is demonstrated with the developed prototype tool. The contribution of the tool is confirmed by the validation and evaluation result with two real case studies, Library Management System (LMS) and Kidney Failure Diagnosis (KFD) Subsystem, as we expected.

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Software Engineering Education Knowledge Versus Industrial Needs

Cited by 4 publications

References 30 publications

Decentralized Innovation: Exploring the Impact of Blockchain Technology in Software Development

Decentralized Innovation: Exploring the Impact of Blockchain Technology in Software Development

Vocational Education and Industry Integration and Symbiosis of Subjects and Digital Drivers

An Approach of Test Case Generation with Software Requirement Ontology

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