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Cesar França

Publications and source records attributed to Cesar França.

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Clarifying Core Dimensions in Digital Maturity Models: An Integrative Approach

Digital Transformation (DT) initiatives frequently face high failure rates, and while Digital Maturity Models (DMMs) offer potential solutions, they have notable shortcomings. Specifically, there is significant disparity in the dimensions considered relevant, a lack of clarity in their definitions, and uncertainty regarding their components. This study aims to provide a clearer understanding of DMMs by proposing integrative definitions of the most frequently used dimensions. Using a Systematic Mapping approach, including automatic search and snowballing techniques, we analyzed 76 DMMs to answer two Research Questions: (RQ1) What are the most frequent dimensions in DMMs? and (RQ2) How are these dimensions described, including their components? We reconcile varying interpretations of the ten most frequent dimensions -- Organization, Strategy, Technology, Culture, Process, Operations, People, Management, Customer, and Data -- and propose integrative definitions for each. Compared to previous analyses, this study provides a broader and more recent perspective on Digital Maturity Models.

cs.SE

Industry Expectations and Skill Demands in Quantum Software Testing

Quantum software testing introduces new challenges that differ fundamentally from those in classical software engineering. Aims: This study investigates how the quantum software industry defines testing roles and what skills are expected from professionals in these positions. Method: We analyzed 110 job postings from organizations involved in quantum software and hardware development, identifying activities, competencies, and skill requirements related to testing. Results: The findings show that testing in quantum contexts combines traditional software quality assurance with experimental validation, emphasizing calibration, control, and hybrid quantum-classical verification. Employers seek professionals who integrate programming and automation expertise with quantum-specific technical knowledge and interdisciplinary collaboration skills. Conclusions: Quantum software testing remains at an early but rapidly evolving stage that bridges software engineering and experimental physics, highlighting the need for educational and research efforts that align testing practices with industrial realities.

cs.SE

Testing Is Not Boring: Characterizing Challenge in Software Testing Tasks

As software systems continue to grow in complexity, testing has become a fundamental part of ensuring the quality and reliability of software products. Yet, software testing is still often perceived, both in industry and academia, as a repetitive, low-skill activity. This perception fails to recognize the creativity, problem-solving, and adaptability required in testing work. Tasks such as designing complex test cases, automating testing processes, and handling shifting requirements illustrate the challenges testing professionals regularly face. To better understand these experiences, we conducted a study with software testing professionals to explore the nature of challenging tasks in software testing and how they affect these professionals. Our findings show that tasks involving creativity, ongoing learning, and time pressure are often seen as motivating and rewarding. On the other hand, a lack of challenge or overwhelming demands can lead to frustration and disengagement. These findings demonstrate the importance of balancing task complexity to sustain motivation and present software testing as a dynamic and intellectually engaging field.

cs.SE

Post-Pandemic Hybrid Work in Software Companies: Findings from an Industrial Case Study

Context. Software professionals learned from their experience during the pandemic that most of their work can be done remotely, and now software companies are expected to adopt hybrid work models to avoid the resignation of talented professionals who require more flexibility and work-life balance. However, hybrid work is a spectrum of flexible work arrangements, and currently, there are no well-established hybrid work configurations to be followed in the post-pandemic period. Goal. We investigated how software engineers are experiencing the post-pandemic hybrid work landscape, aiming to understand the factors that influence their choices between remote and in-office work. Method. We explored a large South American company by collecting quantitative and qualitative data from 545 software professionals who are currently navigating diverse hybrid work arrangements tailored to their individual and team requirements. Findings. Our study revealed an array of factors that significantly impact hybrid work within the software industry, including individual preferences, work-life balance, commute time, social interactions, productivity, and more. Team dynamics, project demands, client expectations, and organizational strategies also play an important role in shaping the complex landscape of hybrid work configurations in software engineering. Conclusions. In summary, the success of hybrid work models depends on balancing individual preferences, team dynamics, and organizational strategies. Our study demonstrated that, at present, there is no one-size-fits-all individual approach to hybrid work in the software industry.

cs.SE