2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)最新文献

{"title":"Benefits and Limitations of Remote Work to LGBTQIA+ Software Professionals","authors":"Ronnie E. S. Santos, C. Magalhães, P. Ralph","doi":"10.1109/ICSE-SEIS58686.2023.00011","DOIUrl":"https://doi.org/10.1109/ICSE-SEIS58686.2023.00011","url":null,"abstract":"Background. The mass transition to remote work amid the COVID-19 pandemic profoundly affected software professionals, who abruptly shifted into ostensibly temporary home offices. The effects of this transition on these professionals are complex, depending on the particularities of the context and individuals. Recent studies advocate for remote structures to create opportunities for many equity-deserving groups; however, remote work can also be challenging for some individuals, such as women and individuals with disabilities. As the discussions on equity, diversity, and inclusion increase in software engineering, it is important to explore the realities and perspectives of different equity-deserving groups to develop strategies that can support them post-pandemic. Objective. This study aims to investigate the effects of remote work on LGBTQIA+ software professionals. Method. Grounded theory methodology was applied based on information collected from two main sources: a survey questionnaire with a sample of 57 LGBTQIA+ software professionals and nine follow-up interviews with individuals from this sample. This sample included professionals of different genders, ethnicities, sexual orientations, and levels of experience. Consistent with grounded theory methodology, the process of data collection and analysis was conducted iteratively using three stages of coding: line-by-line, focused, and theoretical. Member checking was used to validate the findings obtained from interpreting the experiences commented on by LGBTQIA+ software professionals. Findings. Our findings demonstrate that (1) remote work benefits LGBTQIA+ people by increasing security and visibility; (2) remote work harms LGBTQIA+ software professionals through isolation and invisibility; (3) the benefits outweigh the drawbacks; (4) the drawbacks can be mitigated by supportive measures developed by software companies. Conclusion. This paper investigated how remote work can affect LGBTQIA+ software professionals and presented a set of recommendations on how software companies can address the benefits and limitations associated with this work model. In summary, we concluded that remote work is crucial in increasing diversity and inclusion in the software industry.General Abstract. Remote work is here to stay. There is no denying it, as some software professionals would rather quit their jobs than return to the office full-time. Therefore, software companies want to understand how the remote working model can be successfully used without causing major issues. The problem is that the effects of remote work are complex because they depend on individual and group characteristics that require careful evaluation. In this scenario, one thing has been extremely positive: remote work is helping to increase diversity in software engineering by fostering new opportunities and better work conditions for individuals from equity-deserving groups, for instance, LGBTQIA+ software professionals. The software ","PeriodicalId":427165,"journal":{"name":"2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122999554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metamorphic Testing and Debugging of Tax Preparation Software","authors":"Saeid Tizpaz-Niari, Morgan Wagner, Shiva Darian, Krystia Reed, Ashutosh Trivedi","doi":"10.1109/ICSE-SEIS58686.2023.00019","DOIUrl":"https://doi.org/10.1109/ICSE-SEIS58686.2023.00019","url":null,"abstract":"This paper presents a data-driven debugging 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 as they relate to structurally modified inputs.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 Form 1040 (U.S. Individual Income Tax Return), Publication 596 (Earned Income Tax Credit), Schedule 8812 (Qualifying Children and Other Dependents), and Form 8863 (Education Credits). While we focus on an open-source tax preparation software for our case study, the proposed framework can be readily extended to other commercial software. We 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.","PeriodicalId":427165,"journal":{"name":"2023 IEEE/ACM 45th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126388195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}