Daniel de Carvalho

Mansur Khazeev, Manuel Mazzara, Daniel De Carvalho et al.

Formal methods yet advantageous, face challenges towards wide acceptance and adoption in software development practices. The major reason being presumed complexity. The issue can be addressed by academia with a thoughtful plan of teaching and practise. The user study detailed in this paper is examining AutoProof tool with the motivation to identify complexities attributed to formal methods. Participants' (students of Masters program in Computer Science) performance and feedback on the experience with formal methods assisted us in extracting specific problem areas that effect tool usability. The study results infer, along with improvements in verification tool functionalities, teaching program must be modified to include pre-requisite courses to make formal methods easily adapted by students and promoting their usage in software development process.

Daniel de Carvalho, Rasheed Hussain, Adil Khan et al.

This paper summarizes the experience of teaching an introductory course to programming by using a correctness by construction approach at Innopolis University, Russian Federation. In this paper we claim that division in beginner and advanced groups improves the learning outcomes, present the discussion and the data that support the claim.

Daniel de Carvalho, Manuel Mazzara, Bogdan Mingela et al.

Static verification of a program source code correctness is an important element of software reliability. Formal verification of software programs involves proving that a program satisfies a formal specification of its behavior. Many languages use both static and dynamic type checking. With such approach, the static type checker verifies everything possible at compile time, and dynamic checks the remaining. The current state of the Jolie programming language includes a dynamic type system. Consequently, it allows avoidable run-time errors. A static type system for the language has been formally defined on paper but lacks an implementation yet. In this paper, we describe a prototype of Jolie Static Type Checker (JSTC), which employs a technique based on a SMT solver. We describe the theory behind and the implementation, and the process of static analysis.