arXiv subjects

Shiva Darian

Publications and source records attributed to Shiva Darian.

3 recordsLinked to original sources

arXiv2026

Transient Non-Use: How People in Migration Experience Digital Disconnection

People experiencing migration endure many transitions across borders, technologies, and social systems. While HCI research often emphasizes this community's adoption of technology, less attention has been paid to practices of technological non-use. This paper investigates how information and communication technologies (ICTs) are intentionally and unintentionally avoided, withheld, or not used during migration. Drawing on interviews with 32 people experiencing migration in the border city of El Paso, Texas, USA between February and May 2025, we identify a range of non-use experiences, including device, informational, and protective non-use. We extend the concept of non-use by situating it within the three phases of transitions: understanding, negotiating, and resolving. We show how ICT non-use shifts with time, risk, and institutional demands. Our analysis demonstrates that non-use functions both as a protective strategy and as a response to systemic exclusion, and concludes with design principles that anticipate non-use as both intentional and unintentional design conditions rather than as punitive failure.

cs.HC↗

arXiv2024

Metamorphic Debugging for Accountable Software

As the laws have become more complicated and enormous, the role of software systems in navigating and understanding these intricacies has become more critical. Given their socio-economic and legally critical implications, ensuring software accountability -- encompassing qualities such as legal compliance, explainability, perceptions of procedural justice, fairness of outcomes, and confidentiality/privacy -- is of paramount social importance. Moreover, software that accurately interprets its requirements, complies with legal standards and upholds social fairness can serve as a surrogate for legal and social norms, enabling policymakers to inquire about the law as seamlessly as a software engineer conducts a test. However, ensuring software accountability faces three key challenges: i) Translating legalese into formal specifications, ii) Lack of a definitive 'truth' for queries (the oracle problem), and iii) Scarcity of trustworthy datasets due to privacy and legal concerns. Drawing from the experiences in debugging U.S. tax preparation software, we propose that these challenges can be tackled by focusing on relational specifications. While the exact output for a given input may be unknown, the relationship between the outputs of two related inputs may be easier to express. This observation resembles i) the legal doctrine of precedent, meaning that similar cases must yield similar rulings; and ii) metamorphic relation (MR) in software engineering that requires a specific relation between software inputs and outputs. We propose metamorphic debugging as the foundation for detecting, explaining, and repairing socio-legal software for these relations. We showcase recent results that leverage metamorphic debugging to detect and explain accountability bugs in tax prep and poverty management software systems.

cs.SE↗

arXiv2023

Metamorphic Testing and Debugging of Tax Preparation Software

This paper presents a data-driven framework to improve the trustworthiness of US tax preparation software systems. Given the legal implications of bugs in such software on its users, ensuring compliance and trustworthiness of tax preparation software is of paramount importance. The key barriers in developing debugging aids for tax preparation systems are the unavailability of explicit specifications and the difficulty of obtaining oracles. We posit that, since the US tax law adheres to the legal doctrine of precedent, the specifications about the outcome of tax preparation software for an individual taxpayer must be viewed in comparison with individuals that are deemed similar. Consequently, these specifications are naturally available as properties on the software requiring similar inputs provide similar outputs. Inspired by the metamorphic testing paradigm, we dub these relations metamorphic relations. In collaboration with legal and tax experts, we explicated metamorphic relations for a set of challenging properties from various US Internal Revenue Services (IRS) publications including Publication 596 (Earned Income Tax Credit), Schedule 8812 (Qualifying Children/Other Dependents), and Form 8863 (Education Credits). We focus on an open-source tax preparation software for our case study and develop a randomized test-case generation strategy to systematically validate the correctness of tax preparation software guided by metamorphic relations. We further aid this test-case generation by visually explaining the behavior of software on suspicious instances using easy to-interpret decision-tree models. Our tool uncovered several accountability bugs with varying severity ranging from non-robust behavior in corner-cases (unreliable behavior when tax returns are close to zero) to missing eligibility conditions in the updated versions of software.

cs.SE↗