Engineering transparency requirements: A modelling and analysis framework

Hosseini, Mahmoud; Shahri, Alimohammad; Phalp, Keith; Ali, Raian

doi:10.1016/j.is.2017.12.008

Cited by 15 publications

(6 citation statements)

References 33 publications

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“…Authors in Hosseini et al [36] suggested a method that is based on four reference models to administer transparency requirements so that information is communicated in a useful and meaningful manner to its intended spectators. The same authors proposed a modelling language to determine transparency requirements in business information systems [37,38]. The proposed language includes models to capture transparency requirements in organisations and procedures to argue about the uniformity in the captured requirements.…”

Section: Approaches To Assess Transparencymentioning

confidence: 99%

Online social transparency in enterprise information systems: a risk assessment method

et al. 2021

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Teleworking refers to the utilization of information and communication technologies for work done outside the workplace. The Covid-19 crisis led to increased utilisation of social networking tools within enterprises, especially when working remotely. The aim of their use is often to improve situational awareness, coordination, and collaboration amongst employees. Online social transparency, typically done through social networks or enterprise social software, refers to the voluntary sharing of personal and contextual information such as those relating to their own and team status, intentions, motivation, capabilities, goal priorities besides updates on the physical and social context, with other colleagues. An ad-hoc practice of social transparency can introduce risks such as information overload, social loafing and peer pressure. Despite recognising its adverse effects, there is a lack of systematic methods that identify and assess the risks of online social transparency. In this paper, we present a method to identify and evaluate these within enterprises. We present the method’s workflow, stakeholders, the novel artefacts and techniques devised to use and the outcomes to produce. We evaluate our proposed method by applying it in a real organisational context and assess applicability, efficiency, and effectiveness in identifying risks and supporting managers in risk assessment. The results showed that the method gives a framework of thinking and analysis and helps recognize and identify risks in a specialized manner.

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Section: Approaches To Assess Transparencymentioning

confidence: 99%

Online social transparency in enterprise information systems: a risk assessment method

et al. 2021

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“…Researchers have developed a model and language to represent transparency requirements, called TranspLan. TranspLan [1] is based on three components: stakeholders, information elements, and the binary relationships between them. Stakeholders are involved in information exchange and can be people, departments, or organizations.…”

Section: Introductionmentioning

confidence: 99%

“…The goal is to make the comprehension of software transparency requirements more accessible to all users, not just experts. The main contributions of this work can be summarized as follows: (1) analyze software policies with machine learning and natural language processing, (2) create an annotated text data set for transparency analytics, (3) propose an approach to automatically detect information elements, and (4) integrate the proposed machine learning model with TRANSPVIS [2] in order to create a visual analytics tool.…”

Section: Introductionmentioning

confidence: 99%

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Visual Analytics Using Machine Learning for Transparency Requirements

Fadloun,

Bennamane,

Meshoul

et al. 2023

Mathematics

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Problem solving applications require users to exercise caution in their data usage practices. Prior to installing these applications, users are encouraged to read and comprehend the terms of service, which address important aspects such as data privacy, processes, and policies (referred to as information elements). However, these terms are often lengthy and complex, making it challenging for users to fully grasp their content. Additionally, existing transparency analytics tools typically rely on the manual extraction of information elements, resulting in a time-consuming process. To address these challenges, this paper proposes a novel approach that combines information visualization and machine learning analyses to automate the retrieval of information elements. The methodology involves the creation and labeling of a dataset derived from multiple software terms of use. Machine learning models, including naïve Bayes, BART, and LSTM, are utilized for the classification of information elements and text summarization. Furthermore, the proposed approach is integrated into our existing visualization tool TranspVis to enable the automatic detection and display of software information elements. The system is thoroughly evaluated using a database-connected tool, incorporating various metrics and expert opinions. The results of our study demonstrate the promising potential of our approach, serving as an initial step in this field. Our solution not only addresses the challenge of extracting information elements from complex terms of service but also provides a foundation for future research in this area.

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“…Further research led to developing a new modelling language to manage the elicitation of transparency requirements. Authors in [17,18] proposed TranspLan as a modelling language to capture transparency requirements in business information systems. They provided templates for identifying transparency requirements, and they use algorithms to reason about the consistency and conflicts of the captured requirements.…”

Section: Introductionmentioning

confidence: 99%

Social Transparency in Enterprise Information Systems: Peculiarities and Assessment Factors

Alsaedi

Stefanidis

Phalp

et al. 2019

2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)

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Social transparency within an organisation refers to the intentional sharing by individuals of information relating to themselves and their group to others in the workplace. This includes announcing personal interests, activity status, priorities and personal achievements. Such transparency is typically intended to increase relatedness, motivation and trust amongst colleagues. Social networking features are being embedded within organisational information systems, allowing an online version of social transparency. An ad-hoc implementation of such transparency can pose issues such as information overload, motivating unwanted grouping amongst colleagues and increasing pressure to perform in a certain manner. This results in organisational problems such as reduced productivity, unproductive competition and high turnover rates. Our ultimate aim is to address these issues by proposing an assessment method for online social transparency to detect and minimise its negative impact on employees and organisations. In this paper, we report on empirical study results and present (1) a set of peculiarities of implementing online transparency in enterprise information systems and (2) a set of essential factors that relate to the assessment process.

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Engineering transparency requirements: A modelling and analysis framework

Cited by 15 publications

References 33 publications

Online social transparency in enterprise information systems: a risk assessment method

Online social transparency in enterprise information systems: a risk assessment method

Visual Analytics Using Machine Learning for Transparency Requirements

Social Transparency in Enterprise Information Systems: Peculiarities and Assessment Factors

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