Architectural decision-making as a financial investment: An industrial case study

Ampatzoglou, Apostolos; Arvanitou, Elvira-Maria; Avgeriou, Paris; Tsintzira, Angeliki-Agathi; Chatzigeorgiou, Alexander

doi:10.1016/j.infsof.2020.106412

Cited by 8 publications

(4 citation statements)

References 26 publications

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“…Additionally, in traditional software engineering, there is no design decision or application of a practice that does not come without a cost (Ampatzoglou et al, 2021). Thus, any decision-maker needs to consider various quality attributes and explore possible quality trade-offs between them (i.e., one QA is improved, whereas another deteriorates) (Bass et al, 2003).…”

Section: Se Practices Per Application Domainmentioning

confidence: 99%

Software engineering practices for scientific software development: A systematic mapping study

Arvanitou

Ampatzoglou

Chatzigeorgiou

et al. 2021

Journal of Systems and Software

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Section: Se Practices Per Application Domainmentioning

confidence: 99%

Software engineering practices for scientific software development: A systematic mapping study

Arvanitou

Ampatzoglou

Chatzigeorgiou

et al. 2021

Journal of Systems and Software

Self Cite

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“…According to the findings of the research [19][20][21], funds are invested less in firms with CEOs who are heavily in debt, but corporate bond funds invest more in the same firms. The impact holds after controlling for heterogeneity by utilizing obligatory disclosure of household debt as a near-normal experiment in 2007 and state-level individual income tax rates as internal debt instruments.…”

Section: Study Background and Theoretical Literature Reviewmentioning

confidence: 99%

The Effect of Accounting Disclosure on Investment Decision-Making—A Case Study Sample of Investors in Companies Listed on Palestine Stock Exchange

Faza,

Badwan,

Hamdan

et al. 2023

Business, Management and Economics

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The main purpose of the current research is to focused on how accounting disclosure affects investment decisions. To achieve the main objective of this research, the researchers employed the methodology used in the study and used the questionnaire tool and Pearson correlation coefficient to ascertain how accounting disclosure affects investment decisions-making. Data from the study sample was gathered using the questionnaire approach, which was then distributed to a sample of investors in the firms listed on the Palestine Stock Exchange. Percentages and frequencies were used as statistical techniques in this study in order to determine how the study sample responded to the study\'s axes and fields and to describe the characteristics of the study sample. The Pearson correlation coefficient was also used to demonstrate the relationship between the independent and dependent variables. The current research reached several results, such as the contribution of accounting disclosure in providing future accounting information that is disclosed and that affects investment decisions in the Palestinian Stock Exchange and helps investors in making sound and correct decisions. The most important results of the study show that there is a significant relationship at a significant level (0.05) between accounting disclosure and the investment decisions of a sample of investors in companies listed on the Palestine Stock Exchange.

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“…Notably, over the years, numerous approaches have been proposed to detect, mostly via source code analysis, ATD instances present in software intensive-systems. Such methods rely on the analysis of symptoms through which ATD manifests itself, and are conceived to detect specific types of ATD by adopting heterogeneous strategies, ranging from the model-based analysis of heterogeneous architectural artifacts ( Pérez, 2020 ), the combination of technical and business factors to support architectural decision-making ( Ampatzoglou et al, 2021 ), the analysis of dependency anti-patterns ( Arcelli Fontana et al, 2017 ), and the evaluation of components modularity ( Martini, Sikander & Madlani, 2018 ). Additionally, numerous static analysis tools, such as NDepend ( https://www.ndepend.com ), CAST ( https://www.castsoftware.com/products/code-analysis-tools ), and SonarQube ( https://www.sonarqube.org ), are currently available on the market, enabling to keep track of such symptoms of technical debt and architecture-related issues present in code-bases.…”

Section: Introductionmentioning

confidence: 99%

Empirical evaluation of an architectural technical debt index in the context of the Apache and ONAP ecosystems

Verdecchia

Malavolta

Lago

et al. 2022

PeerJ Computer Science

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Background Architectural Technical Debt (ATD) in a software-intensive system denotes architectural design choices which, while being suitable or even optimal when adopted, lower the maintainability and evolvability of the system in the long term, hindering future development activities. Despite the growing research interest in ATD, how to gain an informative and encompassing viewpoint of the ATD present in a software-intensive system is still an open problem. Objective In this study, we evaluate ATDx, a data-driven approach providing an overview of the ATD present in a software-intensive system. The approach, based on the analysis of a software portfolio, calculates severity levels of architectural rule violations via a clustering algorithm, and aggregates results into different ATD dimensions. Method To evaluate ATDx, we implement an instance of the approach based on SonarQube, and run the analysis on the Apache and ONAP ecosystems. The analysis results are then shared with the portfolio contributors, who are invited to participate in an online survey designed to evaluate the representativeness and actionability of the approach. Results The survey results confirm the representativeness of the ATDx, in terms of both the ATDx analysis results and the used architectural technical debt dimensions. Results also showed the actionability of the approach, although to a lower extent when compared to the ATDx representativeness, with usage scenarios including refactoring, code review, communication, and ATD evolution analysis. Conclusions With ATDx, we strive for the establishment of a sound, comprehensive, and intuitive architectural view of the ATD identifiable via source code analysis. The collected results are promising, and display both the representativeness and actionability of the approach. As future work, we plan to consolidate the approach via further empirical experimentation, by considering other development contexts (e.g., proprietary portfolios and other source code analysis tools), and enhancing the ATDx report capabilities.

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Architectural decision-making as a financial investment: An industrial case study

Cited by 8 publications

References 26 publications

Software engineering practices for scientific software development: A systematic mapping study

Software engineering practices for scientific software development: A systematic mapping study

The Effect of Accounting Disclosure on Investment Decision-Making—A Case Study Sample of Investors in Companies Listed on Palestine Stock Exchange

Empirical evaluation of an architectural technical debt index in the context of the Apache and ONAP ecosystems

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